Pith. sign in

Paper Citation Record · LEDGER

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging

As of 19 August 2026, this Paper Citation Record lists 100 of 196 outbound references and 0 inbound Pith citation observations for arXiv:2505.00805.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2505.00805 v1

Coverage vector

measured 100 of 196 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:37:42.496796Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

100 of 196 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved98
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8cbb6e87-88ea-4c58-895d-0c9bf54c0dd5 · outbound

This paper cites Crops that feed the world 10. past successes and future challenges to the role played by wheat in global food security,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Crops that feed the world 10. past successes and future challenges to the role played by wheat in global food security,

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.077190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.077190Z digest=sha256:a678c3677b83e127f56d30a8e6a96b1533fd6237b6d393ceb3950190359efd43

Observation be89556d-d7c2-461d-b898-3e6df0f14c36 · outbound

This paper cites The role of wheat in global food security,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging The role of wheat in global food security,

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.082361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.082361Z digest=sha256:d8d16e5f280769185689f266ab7be4ab98648b9b4fd4c981d08b57a3af729440

Observation a041caa6-eea0-4a89-9179-7433a04a8211 · outbound

This paper cites Hyperspectral versus multispectral crop-productivity modeling and type discrimination for the hyspiri mission,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Hyperspectral versus multispectral crop-productivity modeling and type discrimination for the hyspiri mission,

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.091476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.091476Z digest=sha256:0c73659f39ff080636eee88f802ceef021f64287e62ed84d6c94f2b91263dde8

Observation 29478784-cfea-4a5f-a109-884a136fab68 · outbound

This paper cites Advantage of hyperspectral eo-1 hyperion over multispectral ikonos, geoeye- 1, worldview-2, landsat etm+, and modis vegetation indices in crop biomass estimation,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Advantage of hyperspectral eo-1 hyperion over multispectral ikonos, geoeye- 1, worldview-2, landsat etm+, and modis vegetation indices in crop biomass estimation,

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.096051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.096051Z digest=sha256:9280883edcca34d246fc88683f5b1f0f226ce402d99e1c02fac49adbef3434c0

Observation eb567ba4-4502-4627-a9ce-098ded5b4918 · outbound

This paper cites Hyperspectral imaging system: Development aspects and recent trends,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Hyperspectral imaging system: Development aspects and recent trends,

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.100341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.100341Z digest=sha256:588fd12ae91662acc655d989c03c3dce53df263ed2daaedf723a2a955fb43975

Observation 8e6c9e5c-39fc-4edc-957e-4b94b3d01c10 · outbound

This paper cites Big data and machine learning with hyperspectral information in agriculture,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Big data and machine learning with hyperspectral information in agriculture,

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.104963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.104963Z digest=sha256:2344b65667bc7e6a7fa2a9a26701c4be84b47810c3f3ea1034621c57a442bf30

Observation 6d628312-9b9f-4f19-ba30-30a81efd5ed2 · outbound

This paper cites Uav-based hyperspectral and ensemble machine learning for predicting yield in winter wheat,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Uav-based hyperspectral and ensemble machine learning for predicting yield in winter wheat,

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.112913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.112913Z digest=sha256:e9ac9421d70de9a3119d2622263cfa440b5b460af58b925d5eb49e9bbb9bc5a4

Observation 91835fa0-4443-4edc-8fb2-8604e61e7d78 · outbound

This paper cites An extensive review of hyperspectral image classification and prediction: techniques and challenges,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging An extensive review of hyperspectral image classification and prediction: techniques and challenges,

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.116827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.116827Z digest=sha256:825b2ddb061ecfaa829c9d5866f3e248c31b759cf55c17984bf5ca66ccad5d51

Observation fb2371b8-de1c-459b-ade6-f57de8689f4e · outbound

This paper cites A review of deep learning used in the hyperspectral image analysis for agriculture,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging A review of deep learning used in the hyperspectral image analysis for agriculture,

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.120565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.120565Z digest=sha256:50c81aab4978e54ff4aefb06fed59df8a2cd44cb66b284daec9c5567a5a50c8d

Observation 702eadc5-3cdf-4de3-8257-1b4ad4078631 · outbound

This paper cites A systematic review on hyperspectral imaging technology with a machine and deep learning methodology for agricultural applications,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging A systematic review on hyperspectral imaging technology with a machine and deep learning methodology for agricultural applications,

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.124579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.124579Z digest=sha256:4aa9ca4408d74874061a8e7578c26da913b3b7071e25a259116fdcdd4678728f

Observation 7e58d4a8-9a62-4a81-b8da-9246fd9ebdd7 · outbound

This paper cites Plant disease diagnosis using deep learning based on aerial hyperspectral images: A review,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Plant disease diagnosis using deep learning based on aerial hyperspectral images: A review,

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.128295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.128295Z digest=sha256:7d1a487369a54d4270561e14eeb9fa5ea4bb450f5c67e05a55a05118f4c4b82d

Observation 750c0044-c963-4991-be0a-156fac3030a0 · outbound

This paper cites Hyperspectral imaging using deep learning in wheat diseases,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Hyperspectral imaging using deep learning in wheat diseases,

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.132215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.132215Z digest=sha256:6720c97d0972d28b3bc11913e2ec2f655b2158a184662a3655a49c82dcac758a

Observation ed1b2f04-c8e8-4fd3-b1cc-7e8ff0fdb5ee · outbound

This paper cites Hyperspectral imaging combined with machine learning for high-throughput phenotyping in winter wheat,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Hyperspectral imaging combined with machine learning for high-throughput phenotyping in winter wheat,

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.136001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.136001Z digest=sha256:272ad8f07349dc01b91f98c4178b3ff0b036c9b8fddd704956973915989116e2

Observation 824357c3-7dc9-47d3-b3ee-2605d43ed882 · outbound

This paper cites Nondestructive identification of wheat seed variety and geographical origin using near-infrared hyperspectral imagery and deep learning,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Nondestructive identification of wheat seed variety and geographical origin using near-infrared hyperspectral imagery and deep learning,

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.140768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.140768Z digest=sha256:9396e9f306cbbb0bf2eff4926b5bc1b2b8e82dc621f98f1000f30230f3ba18f1

Observation 82545086-3707-49a8-b891-a3052d0a9a1e · outbound

This paper cites Hyperspectral imaging in crop fields: precision agriculture,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Hyperspectral imaging in crop fields: precision agriculture,

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.145117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.145117Z digest=sha256:251e07b7cf5ad0d454b67a007cfc2cc92fc6ae6d4620b122915139bf2169cf92

Observation 10722c9e-88c0-458d-b78d-626d83c420ad · outbound

This paper cites Hyperspectral imaging,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Hyperspectral imaging,

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.149369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.149369Z digest=sha256:21ab7f0295218a6068218643f032a0fb0f496a49e50847a26ef50dffbdb9aa42

Observation 02c823ad-7785-42f2-a166-97eb4920f6a8 · outbound

This paper cites Detection of soil-borne wheat mosaic virus using hyperspectral imaging: from lab to field scans and from hyperspectral to multispectral data,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Detection of soil-borne wheat mosaic virus using hyperspectral imaging: from lab to field scans and from hyperspectral to multispectral data,

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.153582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.153582Z digest=sha256:5067baf3c200faafa376d9623cdc761e5d3c045b3b675a8d1df17122d56ce7eb

Observation c4801bf6-afa2-4610-92b8-fb774037de7e · outbound

This paper cites Aviris data - aviris moffett field image cube,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Aviris data - aviris moffett field image cube,

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.157772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.157772Z digest=sha256:e116a863004a2217255eafbb25b5b33ebccdce082558017af6f34bd4e070f007

Observation ff6dd2f8-de45-4299-a325-371a6bfa54ca · outbound

This paper cites Hyperspectral imaging: A review on uav-based sensors, data processing and applications for agriculture and forestry,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Hyperspectral imaging: A review on uav-based sensors, data processing and applications for agriculture and forestry,

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.161653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.161653Z digest=sha256:45ade16147e09127d7e81a67c8eebd51e9aff27e2ba5e79224cb479c51cffada

Observation 09a26a50-c191-4aea-9402-c5e9391d3465 · outbound

This paper cites Recent advances of hyperspectral imaging technology and applications in agriculture,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Recent advances of hyperspectral imaging technology and applications in agriculture,

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.166090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.166090Z digest=sha256:2e673cfdf2840631a6122041357b30864360d420ef5ab452b37c253dc21aa872

Observation 34186220-e4c4-4a8e-b8bb-eea73a8ee67a · outbound

This paper cites Hyperspectral imaging for earth observation: Platforms and instruments,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Hyperspectral imaging for earth observation: Platforms and instruments,

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.169919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.169919Z digest=sha256:fdee15894d1f35655fd7a8f3471f43498a30a898c96956f26ff6077e04390e6f

Observation 4b153372-44df-43ae-b6e6-dacf0c5b365e · outbound

This paper cites The hyperspectral sensors used in satellite and aerial remote sensing,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging The hyperspectral sensors used in satellite and aerial remote sensing,

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.173708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.173708Z digest=sha256:24738b97799eef57f0ae9ac54a8d6bdcc82cac7c9761423eab1c3dfea8f78c8a

Observation b888cf41-6c6e-4391-b1c1-ae598019acec · outbound

This paper cites Improving orthorectification of uav-based push-broom scanner imagery using derived orthophotos from frame cameras,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Improving orthorectification of uav-based push-broom scanner imagery using derived orthophotos from frame cameras,

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.177591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.177591Z digest=sha256:37488e94d912d9c42a4d054b29792cd27f0334e72af6b0bc32da70f79193470b

Observation 71d4e72e-8523-412e-94b3-afc39f73b69e · outbound

This paper cites Survey of hyperspectral earth observation applica- tions from space in the sentinel-2 context,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Survey of hyperspectral earth observation applica- tions from space in the sentinel-2 context,

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.182213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.182213Z digest=sha256:47e8ef8a11ee17c744ea35b758bcef7deeded0f6a1fb85b2c1989ae3434ac17b

Observation 41018074-86a3-4741-830c-7ea7544102f6 · outbound

This paper cites Hyperspectral imaging for earth observation: Platforms and instruments,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Hyperspectral imaging for earth observation: Platforms and instruments,

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.186523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.186523Z digest=sha256:2b0c41985a69d581fb27ac6b7db5ca7161cb7c77d0a8653ba3fe4ffed86a66c0

Observation 4b666216-5ec0-49f9-8b30-fd0749cb41e4 · outbound

This paper cites Overview of spaceborne hyperspectral imagers and the research progress in bathymetric maps,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Overview of spaceborne hyperspectral imagers and the research progress in bathymetric maps,

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.190426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.190426Z digest=sha256:f0f6c66070cdfa16ef5fdb13af28240ebc588f6507da8a8f6ce21df210fb95fc

Observation d630b580-a2cc-4314-b431-e1fec47de6da · outbound

This paper cites Assessment of plant nitrogen stress in wheat (triticum aestivum l.) through hyperspectral indices,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Assessment of plant nitrogen stress in wheat (triticum aestivum l.) through hyperspectral indices,

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.193998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.193998Z digest=sha256:b521ee64e1a81c1ce6b22bad9d2a227f0380ae839784a20238ac245d0b28af59

Observation f9f5a031-cebc-496e-9c6d-a8abeb586618 · outbound

This paper cites Estimation of the yield and plant height of winter wheat using uav-based hyperspectral images,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Estimation of the yield and plant height of winter wheat using uav-based hyperspectral images,

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.197907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.197907Z digest=sha256:3abb5efe827b6376646343430daba5ec802bed57c1d25a3d73f862b3db74ab6e

Observation fcefceb9-a57f-4a00-bdca-73b6be637e22 · outbound

This paper cites Using high-resolution hyperspectral and thermal airborne imagery to assess physiological condition in the context of wheat phenotyping,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Using high-resolution hyperspectral and thermal airborne imagery to assess physiological condition in the context of wheat phenotyping,

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.201854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.201854Z digest=sha256:a834242f2a44114eec6564650e7eb1b0b5d73573bd79213fcefc09f689579f62

Observation 5c38bde3-7712-432f-a0dc-1840713bfe33 · outbound

This paper cites Predicting grain yield using canopy hyperspectral reflectance in wheat breeding data,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Predicting grain yield using canopy hyperspectral reflectance in wheat breeding data,

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.206410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.206410Z digest=sha256:5d49a6651a081f0bcd21ff7c6a5a47d44075ee5125de149bd71e3c43ae7f0edb

Observation b59a7714-c321-4650-aef6-651045c45037 · outbound

This paper cites Chang,Hyperspectral data processing: algorithm design and analysis.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Chang,Hyperspectral data processing: algorithm design and analysis

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.210096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.210096Z digest=sha256:a0e9623c90fa0398d0baa96d391a80c2288850e0620ad2dc4d0a753a7ab28ad6

Observation 0de65d44-ac68-4491-a48d-e50bee81c7b7 · outbound

This paper cites Spassa: Superpixelwise adaptive ssa for unsupervised spatial–spectral feature extraction in hyperspectral image,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Spassa: Superpixelwise adaptive ssa for unsupervised spatial–spectral feature extraction in hyperspectral image,

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.215095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.215095Z digest=sha256:a5d91a36cb6693285cdd367540c37a9e7ac61ac4d6e1d83cd79129c339ccab43

Observation 5ea01640-0b48-4927-8a2b-2b5c0c786631 · outbound

This paper cites Hyperspectral image processing techniques,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Hyperspectral image processing techniques,

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.219580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.219580Z digest=sha256:45aa864c936205a3396768cb1c78782fcc38e92f53bcad6ba4480a2dbe408242

Observation 95d8c07c-b4c9-488b-9058-2c19cfcebb2a · outbound

This paper cites hyperspectral-image-processing,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging hyperspectral-image-processing,

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.223474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.223474Z digest=sha256:710d614f600593a04d1438731c60314c9893d27d672c3d684957106436a66984

Observation 0c637845-61cb-41f0-beb8-3684c9bac56a · outbound

This paper cites Basic hyperspectral analysis tutorial,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Basic hyperspectral analysis tutorial,

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.227603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.227603Z digest=sha256:4b0046ae5de283e2c9c4090aad92f52f824bf8a8f64f4aa7fe3c7609d960ff90

Observation 14f5faa9-96ee-4be7-a566-f52670081c5b · outbound

This paper cites Featureexplorer: Interactive feature selection and exploration of regression models for hyperspectral images,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Featureexplorer: Interactive feature selection and exploration of regression models for hyperspectral images,

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.231754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.231754Z digest=sha256:85a3adb6901fe97a66be929341c8bc3488d1b91cbc99590aac5788f69bd7a901

Observation 67de8a57-fcb6-4099-9531-3c83cab2bde7 · outbound

This paper cites Superpixel-based spatial-spectral dimension reduction for hyperspectral imagery classification,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Superpixel-based spatial-spectral dimension reduction for hyperspectral imagery classification,

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.235303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.235303Z digest=sha256:f93423fd8872131dbf8ba9bfe65f58348d4e8290b8b7b798c824bc68ec6be7ce

Observation dcf5850e-c5d7-4859-967e-1f5eb0557504 · outbound

This paper cites Prasad and J.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Prasad and J

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.239637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.239637Z digest=sha256:b28db095546ef32a41ce8bcfd6ae426b919959c5c34d1cf43820586a3c01debd

Observation def6e723-c2f5-4e9e-ae54-2e25190e10dd · outbound

This paper cites The application of hyperspectral imaging technologies for the prediction and measurement of the moisture content of various agricultural crops during the drying process,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging The application of hyperspectral imaging technologies for the prediction and measurement of the moisture content of various agricultural crops during the drying process,

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.243905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.243905Z digest=sha256:f1c56077fb27e816974c6ab6a8a98c9310509c4bf6d8fce7fea2a2f2b06179cb

Observation 6dca429e-1906-4577-a50b-097901fdad33 · outbound

This paper cites Hyperspectral remote sensing scenes,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Hyperspectral remote sensing scenes,

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.247884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.247884Z digest=sha256:820d897cd94bef8fee9d0bb95c5601faf7601a94d005ebd8d76c0e8891d8efd8

Observation f158eaff-c913-469d-b91d-8f74b043de11 · outbound

This paper cites Global hyperspectral imaging spectral-library of agricultural crops for conterminous united states v001,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Global hyperspectral imaging spectral-library of agricultural crops for conterminous united states v001,

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.251915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.251915Z digest=sha256:3d2661e6cbe6b4419e620bb8883af9fa9cd39e74fb46354e433c49594a381aee

Observation e8d46f89-dd73-45be-9a83-cafdc6bf248e · outbound

This paper cites Hyperspectral reflectance data of wheat in situ and lab scans infected with soilborne wheat mosaic virus,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Hyperspectral reflectance data of wheat in situ and lab scans infected with soilborne wheat mosaic virus,

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.255493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.255493Z digest=sha256:e16e493fec6128c5ca90d13a6e421c5861e322b72cce545095d79b1a2f9df8fc

Observation 6094585d-6157-4a01-ad75-eeb8118bcb9b · outbound

This paper cites The promise of hyperspectral imaging for the early detection of crown rot in wheat,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging The promise of hyperspectral imaging for the early detection of crown rot in wheat,

Reference 45

Resolution
verified exact
raw_fallback, observed 2026-08-16T04:37:43.142382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T04:37:42.259572Z digest=sha256:3aea3872384c278828c9c0efd457716de6375a5f6d1dbfed9758d933772418d0

Observation ee513d2b-086a-4086-a1c2-9369af1727a5 · outbound

This paper cites Wheathyperspectral,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Wheathyperspectral,

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.264315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.264315Z digest=sha256:16f6b31d319dc7dacd12c1c0be13ca4273ac9e53ebd52b472ed7e53584ab5f45

Observation d57fbf73-960c-46da-9089-5f4391b67aef · outbound

This paper cites Hyperspectral image dataset for salt stress phenotyping of wheat,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Hyperspectral image dataset for salt stress phenotyping of wheat,

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.270953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.270953Z digest=sha256:dad392283c50ad7f493bd2dfcd94307ee24724d571b0578e3c892584ec67110a

Observation 76f3bec0-66a4-4f07-81e5-2343d59a9a41 · outbound

This paper cites Early detection of fusarium infection in wheat using hyper-spectral imaging,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Early detection of fusarium infection in wheat using hyper-spectral imaging,

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.275039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.275039Z digest=sha256:5c3170d99c1496c8012213711abd20442ef62a67b1b776eb3eaa03e096480b29

Observation 63377c13-0bd3-4ec8-9442-825ec56dce05 · outbound

This paper cites Identification of fusarium head blight in winter wheat ears using continuous wavelet analysis,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Identification of fusarium head blight in winter wheat ears using continuous wavelet analysis,

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.280999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.280999Z digest=sha256:188a6162c52d494f987f317e6e41fd3f2fe78551241aca1dc154e9a2eb1d725d

Observation 146459e5-792a-4f8f-820b-3fe889d0870f · outbound

This paper cites Identification of wheat yellow rust using optimal three-band spectral indices in different growth stages,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Identification of wheat yellow rust using optimal three-band spectral indices in different growth stages,

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.285441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.285441Z digest=sha256:a11e42bd47bf2e7d829b1dde900de7297d36bd448cee8c53776f481719234f76

Observation b9ea695a-012d-4178-b0b6-e381eceb4843 · outbound

This paper cites In-field detection of yellow rust in wheat on the ground canopy and uav scale,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging In-field detection of yellow rust in wheat on the ground canopy and uav scale,

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.289925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.289925Z digest=sha256:0d51bd181991c6129278e12b001cddb032a083a53394128cc310729105f410a0

Observation fbe626c7-5aa1-455e-8bb8-eb1b48ad5c6a · outbound

This paper cites A deep learning-based approach for automated yellow rust disease detection from high-resolution hyperspectral uav images,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging A deep learning-based approach for automated yellow rust disease detection from high-resolution hyperspectral uav images,

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.294700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.294700Z digest=sha256:0117eecfb313b4a374b50d75066fb38858576d13edd288b21cc36f233773566b

Observation dfc5b734-a8e8-4456-a4ae-d09f30d14005 · outbound

This paper cites A review of wheat diseases—a field perspective,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging A review of wheat diseases—a field perspective,

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.298548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.298548Z digest=sha256:95cbb92f335dd2904c51fbb0dad58a50b5f4a4fb54335c50ba4d68d88c21048d

Observation e510c682-7133-4cce-b4ef-83421f9338ba · outbound

This paper cites Detecting fusarium head blight in wheat kernels using hyperspectral imaging,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Detecting fusarium head blight in wheat kernels using hyperspectral imaging,

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.302611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.302611Z digest=sha256:0da53b89a7040e6c31edc62f86e1bcd7ad25a7295febbd2f52649415218c7095

Observation 4bdf8429-da45-429d-a39c-4bd92fa3d597 · outbound

This paper cites Hyperspectral measurements of yellow rust and fusarium head blight in cereal crops: Part 1: Laboratory study,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Hyperspectral measurements of yellow rust and fusarium head blight in cereal crops: Part 1: Laboratory study,

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.306720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.306720Z digest=sha256:8d297f15c0f3bd096bf950ec1bc16c29ebb5a887159afc07c1236e81e91b00f6

Observation cd0fb737-c268-4023-8237-19e81eb682f2 · outbound

This paper cites Development of fusarium head blight classification index using hyperspectral microscopy images of winter wheat spikelets,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Development of fusarium head blight classification index using hyperspectral microscopy images of winter wheat spikelets,

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.310630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.310630Z digest=sha256:2f9c6b5772d9db2083eafb1b215667604adaf95addddda9ffff44305bb584b5a

Observation a415c854-d63b-448c-aaff-d9692a874615 · outbound

This paper cites Development and evaluation of a new spectral disease index to detect wheat fusarium head blight using hyperspectral imaging,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Development and evaluation of a new spectral disease index to detect wheat fusarium head blight using hyperspectral imaging,

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.314694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.314694Z digest=sha256:9e4bfe1797c63b344d9a69cbb34432b9a7d566ccbcbef69c780c1f6a711dcce3

Observation 6bc99f22-4833-42b0-89bb-abaf196cf768 · outbound

This paper cites Detection of scab in wheat ears using in situ hyperspectral data and support vector machine optimized by genetic algorithm,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Detection of scab in wheat ears using in situ hyperspectral data and support vector machine optimized by genetic algorithm,

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.318841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.318841Z digest=sha256:09d05b290b9e7eff03ab05f842060fd879a06584c750a376ca6c3660c5406eef

Observation 9c8a5570-498c-4880-a443-06ff13722ce2 · outbound

This paper cites Identification of yellow rust in wheat using in-situ spectral reflectance measurements and airborne hyperspectral imaging,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Identification of yellow rust in wheat using in-situ spectral reflectance measurements and airborne hyperspectral imaging,

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.322731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.322731Z digest=sha256:b5264cd9b3e6e1245b1e0e1032102572bcb8932f185ba93aee19975c3ecd0f84

Observation 6a82962e-9485-4b8e-bf57-80dd09edfc06 · outbound

This paper cites Assessing wheat yellow rust disease through hyperspectral remote sensing,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Assessing wheat yellow rust disease through hyperspectral remote sensing,

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.326563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.326563Z digest=sha256:3935155f27295cd96230c529b62bbff4e6f93bc90c6ea68f3e291cb3c42a758f

Observation d0478fe0-db11-499e-b66f-45e51b0b3348 · outbound

This paper cites Identification of wheat yellow rust using spectral and texture features of hyperspectral images,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Identification of wheat yellow rust using spectral and texture features of hyperspectral images,

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.330157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.330157Z digest=sha256:7fc0255abfef6edfc9c34dd3f5df68b3ad3a28c4665935777943613ec312a36b

Observation 728e4905-5e26-4db6-9a14-d64a749428b7 · outbound

This paper cites Deep learning classifiers for hyperspectral imaging: A review,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Deep learning classifiers for hyperspectral imaging: A review,

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.333901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.333901Z digest=sha256:207471053d7194f2a0ea9c9d340dd7573b0c5e6721a3b0ca2d80ade12efa30b6

Observation c901299b-64f7-469e-97d2-b6de9813bb6b · outbound

This paper cites Deep learning meets hyperspectral image analysis: A multidisciplinary review,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Deep learning meets hyperspectral image analysis: A multidisciplinary review,

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.337978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.337978Z digest=sha256:36175039141c072e7f8c58666f3fe7815037e1924077e729d8b68f9875ab31b8

Observation 4a94feb8-8ebd-40e9-8f15-adba5b48329f · outbound

This paper cites A neural network method for classification of sunlit and shaded components of wheat canopies in the field using high-resolution hyperspectral imagery,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging A neural network method for classification of sunlit and shaded components of wheat canopies in the field using high-resolution hyperspectral imagery,

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.341765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.341765Z digest=sha256:8044c05f64f54bdd8f03b4fb1db351e49e035db99a3b215b38073bcd7a85bafa

Observation 94792226-e296-4b22-a9d7-5a93f939cfa0 · outbound

This paper cites Machine learning analysis of hyperspectral images of damaged wheat kernels,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Machine learning analysis of hyperspectral images of damaged wheat kernels,

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.345887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.345887Z digest=sha256:d84a3f3893cab831e86263b771ed5ebdd26a2ec6f8e1d3abc7d26314ee32f290

Observation a33f2aab-e532-4374-ade5-fceab2d9fbf5 · outbound

This paper cites Spectral–spatial residual network for hyperspectral image classifica- tion: A 3-d deep learning framework,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Spectral–spatial residual network for hyperspectral image classifica- tion: A 3-d deep learning framework,

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.350965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.350965Z digest=sha256:7dae5b2ee728fc2d3dd10ff45ada8dae52cda85b83d70f6548cb4ebfef51cd0f

Observation 1a8411b9-ba95-458d-99c0-c8db13959de9 · outbound

This paper cites Deep feature extraction and classification of hyperspectral images based on convolutional neural networks,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Deep feature extraction and classification of hyperspectral images based on convolutional neural networks,

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.355352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.355352Z digest=sha256:02d5b34bfc100ae8336a1d2fe031450a9ee519c09b2159ebf9c859bc4f42e67a

Observation c8964ee7-fc06-4815-83d7-6a996606f1e7 · outbound

This paper cites Hyperspectral image classification with deep learning models,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Hyperspectral image classification with deep learning models,

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.358899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.358899Z digest=sha256:86bd0758e45dbb8098ef13704d6900e09fa4effec03be9ec47148f27b1841dd5

Observation add2306a-4153-4155-a951-1f29752d994c · outbound

This paper cites Deep 3d convolutional network combined with spatial-spectral features for hyperspectral image classification,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Deep 3d convolutional network combined with spatial-spectral features for hyperspectral image classification,

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.362373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.362373Z digest=sha256:27681aa4778cf53d24429956907a19b7a24d406849d70e172afaee8406bf8118

Observation 0e62eddb-6401-4405-b93f-ee593433b860 · outbound

This paper cites Hybridsn: Exploring 3-d–2-d cnn feature hierarchy for hyperspectral image classification,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Hybridsn: Exploring 3-d–2-d cnn feature hierarchy for hyperspectral image classification,

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.365973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.365973Z digest=sha256:90b4f0e73b326227724c63a95c43e44c3b2bd0dba7d391397ba727bb7f4a97c1

Observation dcda9112-a5fa-43c7-a906-c75348a38ced · outbound

This paper cites Crop yield prediction of wheat using cnn and remote sensing multispectral imagery, a hybrid approach,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Crop yield prediction of wheat using cnn and remote sensing multispectral imagery, a hybrid approach,

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.369898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.369898Z digest=sha256:27334510cfed5599c92b68dd49d1d83ccdacc95f1ad79fd84bdc055fc654d29f

Observation dd854941-b499-4142-bd0c-f0e00f7ba271 · outbound

This paper cites Hyperspectral image classification with deep feature fusion network,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Hyperspectral image classification with deep feature fusion network,

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.373592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.373592Z digest=sha256:aa68c68b0bac1fae53e9209d3af89142cb591c14d381c70665822e11c37c5b98

Observation b3a7bddb-a9b6-49fc-b284-cc42f0afc2f6 · outbound

This paper cites Deep recurrent neural network for crop classification task based on sentinel-1 and sentinel-2 imagery,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Deep recurrent neural network for crop classification task based on sentinel-1 and sentinel-2 imagery,

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.377456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.377456Z digest=sha256:c200b7f7b75d649c48237f501a2695e46ce21422a96f3ad1c7a9663e6376f0c7

Observation a7730482-3818-48b3-b935-e7eb583f48db · outbound

This paper cites Hyperspectral image features classification using deep learning recurrent neural networks,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Hyperspectral image features classification using deep learning recurrent neural networks,

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.381450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.381450Z digest=sha256:60c3dc4fc4a8f93de8c6ee186b947844c414c4f0bdb94c651cb6d1dcfb993688

Observation ba2b9568-fcfa-4741-b46d-756ee78fd870 · outbound

This paper cites Shorten Spatial-spectral RNN with Parallel-GRU for Hyperspectral Image Classification.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Shorten Spatial-spectral RNN with Parallel-GRU for Hyperspectral Image Classification

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.386349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.386349Z digest=sha256:388ccfc5fe14d7ca34507271ec1b6ea4d930093a788497c0652d8cf3b29eddc5

Observation d04d9e86-e5cc-4621-9c78-704902fae5b5 · outbound

This paper cites Double-branch feature fusion transformer for hyperspectral image classification,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Double-branch feature fusion transformer for hyperspectral image classification,

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.390777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.390777Z digest=sha256:e131dc12983cc370e55ca7dbb8aee0e206982b068354b884146a98dd385d9b7f

Observation 97d085d5-0e8f-4dfb-a95e-01499d4488de · outbound

This paper cites Unveiling the potential of diffusion model- based framework with transformer for hyperspectral image classification,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Unveiling the potential of diffusion model- based framework with transformer for hyperspectral image classification,

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.395933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.395933Z digest=sha256:945b6433b487bc3a9d17f555763f560320726219064c6c07804c1e4db5d726f9

Observation 8c8a89bc-d7b7-4c85-9e12-e82e0bea4a2c · outbound

This paper cites Cesa-mcformer: An efficient transformer network for hyperspectral image classification by eliminating redundant information,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Cesa-mcformer: An efficient transformer network for hyperspectral image classification by eliminating redundant information,

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.400007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.400007Z digest=sha256:fd7f1329b1b55301ea966475d4f0ffefe49cd0b394940189b6075c29956fed7d

Observation 8482a5e2-e731-44a2-a3d7-309e280ee8db · outbound

This paper cites Hypersformer: A transformer- based end-to-end hyperspectral image classification method for crop classification,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Hypersformer: A transformer- based end-to-end hyperspectral image classification method for crop classification,

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.404146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.404146Z digest=sha256:2207e15bb96ad430b3107a51dde84f907c0e82d303196853cfa1d1a11419aa2b

Observation 5a760a16-fa78-41a7-929e-52a01c361312 · outbound

This paper cites DualMamba: A Lightweight Spectral-Spatial Mamba-Convolution Network for Hyperspectral Image Classification.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging DualMamba: A Lightweight Spectral-Spatial Mamba-Convolution Network for Hyperspectral Image Classification

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.407925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.407925Z digest=sha256:f10fb302ffb4ba3c5ea36d7737b029a068eb31c932dca9f590e2ec42b028c980

Observation 85fdb21a-23f5-4c1a-9a73-d5fa40d010f6 · outbound

This paper cites HSIMamba: Hyperpsectral Imaging Efficient Feature Learning with Bidirectional State Space for Classification.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging HSIMamba: Hyperpsectral Imaging Efficient Feature Learning with Bidirectional State Space for Classification

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.412000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.412000Z digest=sha256:cd6f7a44d65098cb7b3bd1f92889b66cfee5e85643e43463c03ce0e2a7bbd676

Observation 82603de8-fd30-4207-ad8f-11f7500b226a · outbound

This paper cites Mamba-in-Mamba: Centralized Mamba-Cross-Scan in Tokenized Mamba Model for Hyperspectral Image Classification.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Mamba-in-Mamba: Centralized Mamba-Cross-Scan in Tokenized Mamba Model for Hyperspectral Image Classification

Reference 82

Resolution
verified exact
local_arxiv, observed 2026-08-16T04:37:43.029927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T04:37:42.416396Z digest=sha256:d32de850a2391a769d298278dc7b28716ef8439bb3da274473ad8da769e65aa1

Observation e5862a20-218e-45dd-b710-fef18a497c82 · outbound

This paper cites Spectral-Spatial Mamba for Hyperspectral Image Classification.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Spectral-Spatial Mamba for Hyperspectral Image Classification

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.420467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.420467Z digest=sha256:afd30c5349eda74ae1081414a4566b775697630e0980f9bcf282ac8c13f37b97

Observation 4900a4c1-edea-4fa0-b638-4654c09166de · outbound

This paper cites 3DSS-Mamba: 3D-Spectral-Spatial Mamba for Hyperspectral Image Classification.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging 3DSS-Mamba: 3D-Spectral-Spatial Mamba for Hyperspectral Image Classification

Reference 84

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.424614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.424614Z digest=sha256:fcae74eb8d157a4176128d4126c37f946012f2d6d29e0c5d209e111124959b67

Observation d044ee2e-83cd-40b6-9cb2-8365c9d8b4cd · outbound

This paper cites GraphMamba: An Efficient Graph Structure Learning Vision Mamba for Hyperspectral Image Classification.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging GraphMamba: An Efficient Graph Structure Learning Vision Mamba for Hyperspectral Image Classification

Reference 85

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.429031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.429031Z digest=sha256:b7a63c776cf0a1ac1555f070a370e02a778ff99f47f64a26697de0f18fca4899

Observation 9f7b5e73-1082-475a-8b19-14763195951a · outbound

This paper cites Deep belief network for spectral–spatial classification of hyperspectral remote sensor data,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Deep belief network for spectral–spatial classification of hyperspectral remote sensor data,

Reference 86

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.433021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.433021Z digest=sha256:77eedaccd5cbcd71e3b141dd780d4ae23809851bb0967c9ad83f13099b6e2e13

Observation fc3c19fa-66c9-4574-aaa4-90a7f89e418b · outbound

This paper cites Spectra-spatial graph-based deep restricted boltzmann networks for hyperspectral image classification,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Spectra-spatial graph-based deep restricted boltzmann networks for hyperspectral image classification,

Reference 87

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.436624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.436624Z digest=sha256:afdb0201a93672abcbcd009701c1a1a63b5c2b9fadc882c0215b14e06d4b83c8

Observation 0bac5d20-4db2-4c7d-8cd9-1fad3862d3d8 · outbound

This paper cites Multiple deep-belief-network-based spectral-spatial classification of hyperspectral images,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Multiple deep-belief-network-based spectral-spatial classification of hyperspectral images,

Reference 88

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.440484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.440484Z digest=sha256:9b201d7fb3ab3b1e091ec86b9feb2f22401fca5d7d1d530ff266c84b686992cd

Observation 22222ebc-e9a5-45f0-81da-5e73cb545c2a · outbound

This paper cites Learning to diversify deep belief networks for hyperspectral image classification,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Learning to diversify deep belief networks for hyperspectral image classification,

Reference 89

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.444227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.444227Z digest=sha256:c2adea724bd0bee10e61e13753a6fe25b3372adeed13f3be5927a5929ebf2da2

Observation 2e2f26c4-56c8-442b-88d1-f7de161b3477 · outbound

This paper cites Stacked denoise autoencoder based feature extraction and classification for hyperspectral images,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Stacked denoise autoencoder based feature extraction and classification for hyperspectral images,

Reference 90

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.448323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.448323Z digest=sha256:4bd8e8f48a7d8978a63f94a3965da57585a1a5cf5b2f98ed6737abd1f2e3acaa

Observation 4731f4a8-abae-4c14-8e87-64704e236531 · outbound

This paper cites Two-stage multi-dimensional convolutional stacked autoencoder network model for hyperspectral images classification,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Two-stage multi-dimensional convolutional stacked autoencoder network model for hyperspectral images classification,

Reference 91

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.452643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.452643Z digest=sha256:c3403623f6724d849edaae2b68646b8a290eafca1e02b6b0e0a65d654c0bfaf8

Observation 3df0f765-bbdf-4e2a-9eea-7bc9db647cd4 · outbound

This paper cites Enhancing semi-supervised few-shot hyperspectral image classifica- tion via progressive sample selection,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Enhancing semi-supervised few-shot hyperspectral image classifica- tion via progressive sample selection,

Reference 92

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.456235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.456235Z digest=sha256:77b45c5cc471fcabb7e8942588da39a918ec2065fb98c85743d50d855fdf5804

Observation 640527e0-42dc-4a4a-ab8e-d55242c20aa6 · outbound

This paper cites Improved active deep learning for semi-supervised classification of hyperspectral image,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Improved active deep learning for semi-supervised classification of hyperspectral image,

Reference 93

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.459910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.459910Z digest=sha256:2177f13128ac5d49e0f72fd691567c649781c6cf3a512a6d400b63350c484c28

Observation 59dcb39f-b6de-4e5c-8d19-813ec762b317 · outbound

This paper cites Semi-supervised deep learning using pseudo labels for hyperspectral image classification,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Semi-supervised deep learning using pseudo labels for hyperspectral image classification,

Reference 94

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.463485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.463485Z digest=sha256:d0d53d2e8c13347144359f55b1406f05869bd2863f2db4db5d2a3632da7b9516

Observation cfecd14a-86e3-4af2-8ef6-3e70a722b8c3 · outbound

This paper cites Semi-supervised deep learning classification for hyperspectral image based on dual-strategy sample selection,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Semi-supervised deep learning classification for hyperspectral image based on dual-strategy sample selection,

Reference 95

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.467490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.467490Z digest=sha256:6d3c3cdea90ff59efbacd7a3c0217eb5bfe1014ae5608b45042608403409cd5f

Observation 9ca3e272-c478-449c-9d60-a1198f58f223 · outbound

This paper cites Semi-supervised hyperspectral image classification algorithm based on graph embedding and discriminative spatial information,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Semi-supervised hyperspectral image classification algorithm based on graph embedding and discriminative spatial information,

Reference 96

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.472932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.472932Z digest=sha256:a146cd11fa17006ae5e7383845d92a0ad937fa33c6f476994cd0021c1d10b074

Observation 5210cabf-07df-4cca-ad58-c678742c7c2a · outbound

This paper cites Gacnet: Generate adversarial-driven cross- aware network for hyperspectral wheat variety identification,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Gacnet: Generate adversarial-driven cross- aware network for hyperspectral wheat variety identification,

Reference 97

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.476721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.476721Z digest=sha256:a70252345f8746d401cd047a55ca32c693e4cfab34f91adf8a8f6689adaf8b40

Observation dbb99050-265b-4c5d-9600-76dc239a5453 · outbound

This paper cites Generative adversarial networks-based semi-supervised learning for hyperspectral image classification,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Generative adversarial networks-based semi-supervised learning for hyperspectral image classification,

Reference 98

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.481037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.481037Z digest=sha256:cecd63762e560829c71f08502e3ebac8cdc50c874ec404ea5cdd56ad3e62cd92

Observation 33595a94-4796-41a6-84a1-bbef83921dba · outbound

This paper cites Semisupervised hyperspectral image classification based on generative adversarial networks and spectral angle distance,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Semisupervised hyperspectral image classification based on generative adversarial networks and spectral angle distance,

Reference 99

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.485099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.485099Z digest=sha256:d973fc229bb3cd578beae5ea90afd50de74f2b05c9a55c37511474c87654937e

Observation 01772384-416d-4b57-917c-95e49d194edb · outbound

This paper cites Generative adversarial networks,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Generative adversarial networks,

Reference 100

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.488954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.488954Z digest=sha256:99037cd7d7e97e9300d4c84db3967a80b0459b2efa85adf9f0df931f92d49332

Observation 0d2a497f-e95d-46d4-8a0b-0607075698f6 · outbound

This paper cites Hyperspectral image classification based on generative adversarial networks,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Hyperspectral image classification based on generative adversarial networks,

Reference 101

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.493019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.493019Z digest=sha256:d9a1003d6b415bb0f2c9cc1f628890dac8166cf5ea3e73363e70bf109a9ab2dc

Observation 07da4b4d-a9bc-4e76-b577-5115d1198133 · outbound

This paper cites Generative adversarial networks for hyperspectral image classification,.

Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Generative adversarial networks for hyperspectral image classification,

Reference 102

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:42.496796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:42.496796Z digest=sha256:04f85131a9dd5f2586be2c8ff88ef6d2a581a6d0318305b8a2643b16e04dd502

Pith citing papers

No inbound Pith citation observations are available.