Pith. sign in

Paper Citation Record · LEDGER

Leaf diseases detection using deep learning methods

As of 17 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 0 inbound Pith citation observations for arXiv:2501.00669.

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

pith.paper-citation-record.v1
2501.00669 v1

Coverage vector

measured 64 of 64 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:47:42.183525Z

measured 64 of 64 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

64 of 64 outbound references displayed

  • verified exact15
  • verified fuzzy25
  • unresolved15
  • parse uncertain0
  • malformed identifier5
  • metadata mismatch4

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7b2c04fd-b987-4953-b607-15ee70c6b18b · outbound

This paper cites ToLeD: Tomato leaf disease detection using convolution neural network,.

Leaf diseases detection using deep learning methods ToLeD: Tomato leaf disease detection using convolution neural network,

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-10T22:47:41.926156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:47:41.926156Z digest=sha256:e444fb2c4c5d1fc7d2d182b84ab56a992db6b4f807c17d30f857eb07ffcd3726

Observation 8fb00458-1187-4b73-a943-1c597e1ac7d5 · outbound

This paper cites A novel multi-head CNN design to identify plant diseases using the fusion of RGB images.

Leaf diseases detection using deep learning methods A novel multi-head CNN design to identify plant diseases using the fusion of RGB images

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-10T22:47:42.026985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:47:42.026985Z digest=sha256:ab868c32459d20818d743dd3bb141b2b7060a08a3c7a997ff27dba1b3f6ac7ce

Observation 7f1c645c-df9a-4a7b-80ec-70c992c8b86a · outbound

This paper cites an unresolved cited work.

Leaf diseases detection using deep learning methods Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:47:43.652490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T22:47:41.939713Z digest=sha256:6589f2fff92c26fc0ec6c03e7ced45af691e5513a669bb9a9badf6e318be1b01

Observation d934fa09-93ba-46cf-aa98-3884ccb7a9bc · outbound

This paper cites Grape crop disease c lassification using transfer learning approach,.

Leaf diseases detection using deep learning methods Grape crop disease c lassification using transfer learning approach,

Reference 6

Resolution
verified exact
doi, observed 2026-08-10T22:47:42.325826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T22:47:41.948408Z digest=sha256:e348fa745a5ac45e7f92e1302b55c04b89b9b6258c67a338226d942e70ae06cc

Observation 971be8af-d149-481e-8b6a-c8e369264939 · outbound

This paper cites Comparative Study of Deep Learning Software Frameworks.

Leaf diseases detection using deep learning methods Comparative Study of Deep Learning Software Frameworks

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-08-10T22:47:43.103476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T22:47:41.957279Z digest=sha256:cc26687ece4f6ce04128a5f6577b83acd2230395847bb4fcc9a904eff56f9614

Observation a391dfde-2cf6-44df-b74b-9120b3d1769b · outbound

This paper cites https://www.mdpi.com/2073-8994/10/1/11.

Leaf diseases detection using deep learning methods https://www.mdpi.com/2073-8994/10/1/11

Reference 10

Resolution
malformed identifier
raw_fallback, observed 2026-08-10T22:47:43.502916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T22:47:42.055206Z digest=sha256:ef63c367d2b4d585d3ab6b851c2479bb15be8ce0d5dcc98b4e9dda2b5f61b0d4

Observation a05d2ee8-8f97-46e0-ac5b-69ea716604b7 · outbound

This paper cites Identification of apple leaf diseases based on deep convolutional neural networks.

Leaf diseases detection using deep learning methods Identification of apple leaf diseases based on deep convolutional neural networks

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:47:43.476952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T22:47:42.063774Z digest=sha256:8f51e6fbd52c65c123d7d063f5ac7409306d1b11045ed46dd22a28e9105833be

Observation 20640419-29e5-4aa1-8625-f10bc56858e7 · outbound

This paper cites Identification of rice plant diseases using lightweight attention networks.

Leaf diseases detection using deep learning methods Identification of rice plant diseases using lightweight attention networks

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:47:43.602695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T22:47:41.974000Z digest=sha256:844700c332b0186123561fd28effe28e4f6038df594dc7e1182c184b09a258e3

Observation 165fa077-370d-4297-9863-defac40afe7d · outbound

This paper cites A novel approach to classify and detect bean diseases based on image processing,.

Leaf diseases detection using deep learning methods A novel approach to classify and detect bean diseases based on image processing,

Reference 15

Resolution
metadata mismatch
raw_fallback, observed 2026-08-10T22:47:42.927915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T22:47:41.986462Z digest=sha256:9d805c905cb05c993b4debc6117370c25d289bb8ab4eea6beeb9618beec32af5

Observation 4d1662d6-14f1-43eb-bbbb-f0811b0234ed · outbound

This paper cites MIT Press.

Leaf diseases detection using deep learning methods MIT Press

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:47:43.552226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T22:47:42.002282Z digest=sha256:2f913e5cf156aba3a13e869ce1b648c3f05e5c384d68c377cc21b47394be9d15

Observation 931da905-677b-401d-8c7d-9d16e3912b3c · outbound

This paper cites MIT Press, Cambridge, MA.

Leaf diseases detection using deep learning methods MIT Press, Cambridge, MA

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:47:43.541010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T22:47:42.010909Z digest=sha256:0aa584e8b9ee14b873194b0c80b7d6ed5644b192427f2838b17a781b13ea2377

Observation 1fc54caf-1590-433d-b1eb-6ecff829c454 · outbound

This paper cites an unresolved cited work.

Leaf diseases detection using deep learning methods Unresolved cited work

Reference 24

Resolution
verified exact
raw_fallback, observed 2026-08-10T22:47:42.804957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T22:47:42.023478Z digest=sha256:4aecf70d96dd9409248dde45c328e2ac9aa38d74d20bfbf5cf5975176b9997c3

Observation 78f7ef69-e37d-47a1-907e-1a60ea359a79 · outbound

This paper cites 1097–1105.

Leaf diseases detection using deep learning methods 1097–1105

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:47:43.516317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T22:47:42.037727Z digest=sha256:104082e24d984b2244592f732d783826028cf296f92a236d6ff06ca65085160f

Observation 456bf18a-9680-457d-8100-a5e56d1da317 · outbound

This paper cites A Survey of the Recent Architectures of Deep Convolutional Neural Networks.

Leaf diseases detection using deep learning methods A Survey of the Recent Architectures of Deep Convolutional Neural Networks

Reference 26

Resolution
metadata mismatch
local_arxiv, observed 2026-08-10T22:47:42.672337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T22:47:42.030261Z digest=sha256:e68ada46daae8d63b9b7d837746342a9a50390b2c9985df6e6b0037129ac3b47

Observation bfc20da2-f275-40ea-a403-3609bbdadbd7 · outbound

This paper cites Identification of Apple Leaf Diseases Based on Deep Convolutional Neural Networks,.

Leaf diseases detection using deep learning methods Identification of Apple Leaf Diseases Based on Deep Convolutional Neural Networks,

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-10T22:47:42.050082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:47:42.050082Z digest=sha256:64dd5f14c907c9b3ad5c3ef364ca0469fa37dcc39bc8a12e36ae34be26fee97d

Observation d55c2ec0-d9a6-4b2b-a838-e94c7239b119 · outbound

This paper cites v.16, no.83.URL.https://plantmethods.

Leaf diseases detection using deep learning methods v.16, no.83.URL.https://plantmethods

Reference 35

Resolution
verified exact
doi, observed 2026-08-10T22:47:42.260013Z

Source-reported events for the cited work

correction dated 2021-02-09. Source: crossref record 10.1186/s13007-021-00708-7->10.1186/s13007-020-00624-2:correction, observed 2026-07-11T02:57:38.570328+00:00. This notice travels one citation hop only.

source=pdf_text observed=2026-08-10T22:47:42.068506Z digest=sha256:b864abfd85f2073df2ac754dfde865f91a0b0a4e15b0a2b40f4e5eb51d95af34

Observation 074b3081-1992-447f-b1e5-ff85b2fe16ae · outbound

This paper cites classification of tomato leaf diseases using Mobilenetv2,.

Leaf diseases detection using deep learning methods classification of tomato leaf diseases using Mobilenetv2,

Reference 37

Resolution
malformed identifier
no resolver link, observed 2026-08-10T22:47:42.076924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:47:42.076924Z digest=sha256:e27a4f99ef783873d99f9c4491df0a76a719f7f25bf6c8c5bbfc02d6e0b2eca0

Observation 811ae0cf-f9f1-4eb9-a4d1-318c26ff86d7 · outbound

This paper cites Deep convolutional neural networks for mobile capture device -based crop disease classification in the wild,.

Leaf diseases detection using deep learning methods Deep convolutional neural networks for mobile capture device -based crop disease classification in the wild,

Reference 44

Resolution
verified exact
doi, observed 2026-08-10T22:47:43.407485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T22:47:42.105497Z digest=sha256:0458a929740174de085f84078fcf07d2e10211fc88f4b2d17ab2b7f2fc214e41

Observation f63e2921-17fb-4470-a0e6-1e15be86f704 · outbound

This paper cites YOLOv3: An Incremental Improvement.

Leaf diseases detection using deep learning methods YOLOv3: An Incremental Improvement

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-10T22:47:42.121397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:47:42.121397Z digest=sha256:49454aece97728a1ca3286494e6a177cb8744f397e55aea69e9c894d15cd81a8

Observation 46f61d2a-9583-40b6-b4e5-edc8d1080007 · outbound

This paper cites Real -time detection of maize crop disease via a dee p learning -based smartphone app,.

Leaf diseases detection using deep learning methods Real -time detection of maize crop disease via a dee p learning -based smartphone app,

Reference 49

Resolution
verified exact
doi, observed 2026-08-10T22:47:42.235518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T22:47:42.125561Z digest=sha256:426c4001015d31d678b4c2c2ea59f363a245fa3b6a6d18c49b108cbe52308b09

Observation a10f9074-a49b-4fad-9683-815e9ce1b3d0 · outbound

This paper cites In: Navab, N., Hornegger, J., Wells, W.M.

Leaf diseases detection using deep learning methods In: Navab, N., Hornegger, J., Wells, W.M

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:47:43.353186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T22:47:42.129661Z digest=sha256:b7c17bbbf7bde77de782dfdd4303f73e2159b23be47ed24b9ed19cb59f9b416a

Observation 076774d1-ba2a-4575-a3d0-30501ff2ab83 · outbound

This paper cites Meta-Heuristic Based Deep Learning Model for Leaf Diseases Detection.

Leaf diseases detection using deep learning methods Meta-Heuristic Based Deep Learning Model for Leaf Diseases Detection

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:47:43.340135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T22:47:42.134057Z digest=sha256:fe2f66568fddbb0e2067bcd2240c327abc79d475171074b84bfc03e3e3884b57

Observation d2168596-7620-45b3-bc28-0f4703f0965a · outbound

This paper cites Artificial intelligence tools and their capabilities,.

Leaf diseases detection using deep learning methods Artificial intelligence tools and their capabilities,

Reference 53

Resolution
malformed identifier
no resolver link, observed 2026-08-10T22:47:42.141979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:47:42.141979Z digest=sha256:fe0f7896ca1849885d9683737ed578b3fd0213d7a83b27b81f826c23e26b26d7

Observation 2c8ca3bf-aa1e-4a76-9f43-103271542733 · outbound

This paper cites Rethinkin the inception architecture for computer vision,.

Leaf diseases detection using deep learning methods Rethinkin the inception architecture for computer vision,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:47:43.314024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T22:47:42.152705Z digest=sha256:a7f69a1088dc31f13a61135a75e18aceb02f2050b1f0ac42851addc7eeddc81b

Observation e4b4b2b9-9aef-4ba8-80c4-f8b01eba5bf8 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Leaf diseases detection using deep learning methods Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-10T22:47:42.148945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:47:42.148945Z digest=sha256:44601284e836698f7415ae32c3781f9e90e7258d84c5c9cd2a1374bd3bb6e15f

Observation e7238a4c-2946-4f5e-aced-12727178d3ee · outbound

This paper cites Transfer learning-based deep ensemble neural network for plant leaf disease detection.

Leaf diseases detection using deep learning methods Transfer learning-based deep ensemble neural network for plant leaf disease detection

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:47:43.273131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T22:47:42.166551Z digest=sha256:99f98fa43a6ae18c1f9fcf16353ec183081829c2072bc42eecec927e5de6558d

Observation b17454f0-8d83-457f-858f-3481123c7dc5 · outbound

This paper cites A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection.

Leaf diseases detection using deep learning methods A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-10T22:47:42.170368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:47:42.170368Z digest=sha256:7a9ad93d8dfdf7f1193c73d87306ce320e0e6a7a746210ee55c839006a4c4511

Observation ab1567ea-b8d3-48d9-9bf6-5ad5b483f72e · outbound

This paper cites EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks.

Leaf diseases detection using deep learning methods EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Reference 102

Resolution
unresolved
no resolver link, observed 2026-08-10T22:47:42.085046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:47:42.085046Z digest=sha256:7702bda4c4d9ab79e1c39084e6a9780a4a1d7298395f4e5b72655d6cfb3a4d5c

Observation 7c11a19c-bcd0-4194-a2ee-c33519689b40 · outbound

This paper cites Disease classification in eggplant using pre-trained vgg16 and msvm.

Leaf diseases detection using deep learning methods Disease classification in eggplant using pre-trained vgg16 and msvm

Reference 272

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:47:43.380789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T22:47:42.113378Z digest=sha256:527b1d07145692c1dc7f1a4d38f7b171cb0cf9140fa6e999c0c8abdbc9066449

Observation b4f8798e-0ad2-43e2-b240-e739494052d6 · outbound

This paper cites Visual tea leaf disease recognition using a convolutional neural network model.

Leaf diseases detection using deep learning methods Visual tea leaf disease recognition using a convolutional neural network model

Reference 343

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:47:43.615447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T22:47:41.970371Z digest=sha256:a7346c2e0601a1d7f0d54577ccb918d70afecc65462d90a8bd7a8e9139f7e270

Observation 50fda94c-c5d7-47ec-a7f1-0726a7dd1038 · outbound

This paper cites Deep residual learning for image recognition,.

Leaf diseases detection using deep learning methods Deep residual learning for image recognition,

Reference 439

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:47:43.244363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T22:47:42.183525Z digest=sha256:6b64142a9726f3ae7c58ec8f0dcc08eff80f3bae3a698950f27cfc3c492da1f3

Observation 2f4a5569-a0fe-463a-b4dc-01f6291c0c94 · outbound

This paper cites an unresolved cited work.

Leaf diseases detection using deep learning methods Unresolved cited work

Reference 578

Resolution
verified exact
doi, observed 2026-08-10T22:47:42.303047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T22:47:42.014906Z digest=sha256:3570b8320eb615487901293507571a58213a36f2cc7fd4a197bdd6d1acafb745

Observation 1926eef2-304a-4e86-82b7-5f88985b45d0 · outbound

This paper cites Rice blast disease recognition using a deep convolutional neural network,.

Leaf diseases detection using deep learning methods Rice blast disease recognition using a deep convolutional neural network,

Reference 884

Resolution
verified exact
doi, observed 2026-08-10T22:47:42.281520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T22:47:42.045606Z digest=sha256:279424114f1e48bb8e145361d529f581faf29e4b25e746fe3fd92a41bdd06abb

Observation f80f5b01-f870-48e3-bc93-8e681a0bb83e · outbound

This paper cites G., Bao, F.

Leaf diseases detection using deep learning methods G., Bao, F

Reference 1035

Resolution
metadata mismatch
raw_fallback, observed 2026-08-10T22:47:42.430174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T22:47:42.174304Z digest=sha256:1aa5246542afe03c14cedebec8d9c5c167e7f2db3eca12397c26f8e5e03ad89b

Observation 3a139089-ac65-4d38-af11-c21756485554 · outbound

This paper cites Identification of apple leaf diseases based on deep convolutional neural networks.

Leaf diseases detection using deep learning methods Identification of apple leaf diseases based on deep convolutional neural networks

Reference 1082

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:47:43.489105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T22:47:42.059784Z digest=sha256:3b7d4f700db2ade064dcd3b72ce95a0615ceeabed24809df4a9af08338a6332e

Observation 9bd4d8d6-dfa0-4e24-9de5-954ee6c5d69e · outbound

This paper cites University, P.

Leaf diseases detection using deep learning methods University, P

Reference 1192

Resolution
malformed identifier
raw_fallback, observed 2026-08-10T22:47:43.285977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T22:47:42.163041Z digest=sha256:c943e4d82ed1fa81534987f4a1536a48b590e537709c852414e0576600143beb

Observation b1572964-d443-4932-879d-6aad152cb420 · outbound

This paper cites Plant Disease Detection Using Deep Convolutional Neural Network.

Leaf diseases detection using deep learning methods Plant Disease Detection Using Deep Convolutional Neural Network

Reference 1266

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:47:43.420599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T22:47:42.097175Z digest=sha256:4bd68f2759042f9c1655031083a584649f0f061a936ba4ee2ffecef90f7e3ef1

Observation 83237c15-c045-48f9-81c9-f989d70b00b5 · outbound

This paper cites AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty.

Leaf diseases detection using deep learning methods AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty

Reference 1388

Resolution
malformed identifier
no resolver link, observed 2026-08-10T22:47:42.006484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:47:42.006484Z digest=sha256:75acb932e73c42a9b269bb6ed30630dd216fc3a3dfbad0b1f2dcf26ced88165b

Observation 41851e8a-3d1d-4ea7-bd29-37eee513b768 · outbound

This paper cites Using deep learning for image -based plant disease detection.

Leaf diseases detection using deep learning methods Using deep learning for image -based plant disease detection

Reference 1419

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:47:43.431322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T22:47:42.089235Z digest=sha256:ec6ff6f8b74d8c1447d1f7d3cbeb3f25682333af2b9284931abb27db72f9724e

Observation 7ab1ba70-4349-4a4b-9450-61032f9a8052 · outbound

This paper cites Randaugment: Practical automated data augmentation with a reduced search space.

Leaf diseases detection using deep learning methods Randaugment: Practical automated data augmentation with a reduced search space

Reference 1741

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:47:43.589998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T22:47:41.982263Z digest=sha256:0bfc35b39fa47d1f2dade855b50a9f45a8f8357f63ae15697e8b44949a4a26e7

Observation e67bc866-914f-498a-9a97-100eb0c23b71 · outbound

This paper cites A mobile -based deep learning model for cassava diseas e diagnosis.

Leaf diseases detection using deep learning methods A mobile -based deep learning model for cassava diseas e diagnosis

Reference 1852

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:47:43.394116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T22:47:42.109444Z digest=sha256:936e525974cce5b6c8d4e471605ab4f30f8da04bae867d121c738b4946da6b24

Observation f944458e-887e-435f-8f7d-4091dae6290e · outbound

This paper cites an unresolved cited work.

Leaf diseases detection using deep learning methods Unresolved cited work

Reference 1943

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:47:43.442186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T22:47:42.080834Z digest=sha256:8f7d35a828ec5f3fb6b9eeff7d5e137086dc0a52a07a745eaff85e11ec9fae90

Observation 690054b5-c918-4a75-a450-a6ea3ff3a708 · outbound

This paper cites A robust deep-learning-based detector for real-time tomato plant diseases and pests’ recognition.

Leaf diseases detection using deep learning methods A robust deep-learning-based detector for real-time tomato plant diseases and pests’ recognition

Reference 1958

Resolution
verified exact
doi, observed 2026-08-10T22:47:42.314813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T22:47:41.990479Z digest=sha256:40fcf6b1940835516e4194ac014ddde73f69b87fa70d2a6ab00fb04125ddb01d

Observation 05db5419-7559-4f84-bc35-349825f6b73a · outbound

This paper cites Practical issues in temporal difference learning. Machine Learning.

Leaf diseases detection using deep learning methods Practical issues in temporal difference learning. Machine Learning

Reference 1992

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:47:43.298654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T22:47:42.156078Z digest=sha256:9e254f91fae0a837928f5eb058cd0b088fe1179dc57800601dc49bb0978fd931

Observation 7f73929b-a752-4c62-84af-d927bed8ea70 · outbound

This paper cites Deep Convolutional Neural Network for Plant Seedlings Classification.

Leaf diseases detection using deep learning methods Deep Convolutional Neural Network for Plant Seedlings Classification

Reference 1993

Resolution
verified exact
local_arxiv, observed 2026-08-10T22:47:42.643183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T22:47:42.093110Z digest=sha256:aee7526483cecea3b6bdf4d42dcf5d329b3116df0536b761305d66ffee07043d

Observation b5c142c7-5912-44c6-8e95-24d286bf1f2f · outbound

This paper cites an unresolved cited work.

Leaf diseases detection using deep learning methods Unresolved cited work

Reference 1998

Resolution
unresolved
no resolver link, observed 2026-08-10T22:47:42.041121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:47:42.041121Z digest=sha256:d2dcf3f8a3168ffb49bf32af205f9c91f209f25a1002104cb9d85b8a175b9c89

Observation 1c2ff926-55ea-4221-a6bd-cc29ec8ac99f · outbound

This paper cites A predictive machine learning application in agriculture: Cassava disease detection and classification with imbalanced dataset using convolutional neural networks.

Leaf diseases detection using deep learning methods A predictive machine learning application in agriculture: Cassava disease detection and classification with imbalanced dataset using convolutional neural networks

Reference 2004

Resolution
verified exact
doi, observed 2026-08-10T22:47:43.327913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T22:47:42.138093Z digest=sha256:d06b5c69e68717acfe0c1ae5fc6212772df2da688b494cc1617611f20e9d8b8a

Observation 94e8675b-5aa2-46f8-8f10-7ec6536bdafe · outbound

This paper cites Learning deep architectures for AI. Foundations and trends, in Machine Learning.

Leaf diseases detection using deep learning methods Learning deep architectures for AI. Foundations and trends, in Machine Learning

Reference 2009

Resolution
verified exact
raw_fallback, observed 2026-08-10T22:47:43.083846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T22:47:41.961922Z digest=sha256:9b917d7703d7892761d3cb0aed05e06e9db69409daf6822feeba0a2504204ebf

Observation 6f08e22e-d803-4a95-9ac7-022a4dfe84cf · outbound

This paper cites an unresolved cited work.

Leaf diseases detection using deep learning methods Unresolved cited work

Reference 2010

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:47:43.528696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T22:47:42.034250Z digest=sha256:941848f6d1b38d86e0c2e8944fc61e04720d501847daf4192f041bb64d1bd73e

Observation 44c884ec-376a-4ae5-b2b5-1ca7b73cb871 · outbound

This paper cites In: 2014 IEEE Conference on Computer Vision and Pattern Recognition, pp.

Leaf diseases detection using deep learning methods In: 2014 IEEE Conference on Computer Vision and Pattern Recognition, pp

Reference 2014

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:47:43.564250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T22:47:41.998001Z digest=sha256:e337c700add4aa89648b89d6f4422160b9b06f7388b64568f3503c6fab2161db

Observation 6d2759bf-65b4-42c5-9d7f-26847110f822 · outbound

This paper cites crop monitoring: Using mobilenet models,.

Leaf diseases detection using deep learning methods crop monitoring: Using mobilenet models,

Reference 2015

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:47:43.464119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T22:47:42.072737Z digest=sha256:cfcd739dbd6a7f653dba786e3fc7602f8e75e519bd7d128c7ce9cf21bc02846d

Observation 475e4dae-15bc-4bb0-a0e4-9f7e5e9f4f9a · outbound

This paper cites An Analysis of Deep Neural Network Models for Practical Applications.

Leaf diseases detection using deep learning methods An Analysis of Deep Neural Network Models for Practical Applications

Reference 2016

Resolution
unresolved
no resolver link, observed 2026-08-10T22:47:41.965983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:47:41.965983Z digest=sha256:dea4c6ab217bfb05a1f6d60184f29b5f2242869563afea09a4ce88aa0ae9c42d

Observation 80a8861f-7c7f-4935-9ded-534d96974e8f · outbound

This paper cites A deep learning-based approach for banana leaf diseases classification.

Leaf diseases detection using deep learning methods A deep learning-based approach for banana leaf diseases classification

Reference 2017

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:47:43.639864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T22:47:41.943925Z digest=sha256:74644703f8227776ddebb6b8703c88a5556cd422473b1af19f120fa66e042c12

Observation a740b85e-d5e1-468c-ad6e-7bdc1b83cc44 · outbound

This paper cites Identification of tomato leaf diseases based on combination of ABCK -BWTR and B- ARNet.

Leaf diseases detection using deep learning methods Identification of tomato leaf diseases based on combination of ABCK -BWTR and B- ARNet

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-10T22:47:41.978418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:47:41.978418Z digest=sha256:a8ecbb0ebc5ec27dc2b08f894c9b8e15bf1f1238e3ebdaa3e770dc8b22088159

Observation 7ce52f7b-f8ab-4e7a-b6ad-deb0658b29fc · outbound

This paper cites Electronics 8.https://www.mdpi.com/2079 - 9292/8/3/292.

Leaf diseases detection using deep learning methods Electronics 8.https://www.mdpi.com/2079 - 9292/8/3/292

Reference 2019

Resolution
verified exact
doi, observed 2026-08-10T22:47:42.338445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T22:47:41.935464Z digest=sha256:1ac8f0653b661e599516109ab891c9ce819d45c2432915d13f8abaf9b7d9afd7

Observation a5dff376-7c7b-44c0-9885-1c6bcd799be9 · outbound

This paper cites Retrieved August 15, 2020 from https://d2l.ai/d2l-en.pdf.

Leaf diseases detection using deep learning methods Retrieved August 15, 2020 from https://d2l.ai/d2l-en.pdf

Reference 2020

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:47:43.626811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T22:47:41.952931Z digest=sha256:37c26b72ba7e81e934276d701980125dfa7258a2bfa87aaba52a6da68e5bbb2a

Observation 458218d2-96cd-4a74-b8ef-ceb2e74dc70c · outbound

This paper cites Automatic detection of tomato diseases and pests based on leaf images,.

Leaf diseases detection using deep learning methods Automatic detection of tomato diseases and pests based on leaf images,

Reference 2021

Resolution
metadata mismatch
raw_fallback, observed 2026-08-10T22:47:42.539389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T22:47:42.145516Z digest=sha256:7be385b20e177f087b27a9bb4250121a7e95bd2c28d8a707ff73ac8ffb59a08d

Observation dbfb8175-9bd7-4d4d-b6d1-0d5b74f77acc · outbound

This paper cites Identification of plant leaf diseases using a nine-layer deep convolutional neural network.

Leaf diseases detection using deep learning methods Identification of plant leaf diseases using a nine-layer deep convolutional neural network

Reference 2022

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:47:43.577856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T22:47:41.994400Z digest=sha256:d425c217f5b506e56bad2f5fa70ed6ad339eb4aedf884e863308121fb2e38b59

Observation 5a371339-66da-4e67-ab70-74b973026e08 · outbound

This paper cites Tomato crop disease classification using pre- trained deep learning algorithm.

Leaf diseases detection using deep learning methods Tomato crop disease classification using pre- trained deep learning algorithm

Reference 2322

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:47:43.365982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T22:47:42.117341Z digest=sha256:f4c795e3a5605e43392a29c54914e0184aa9c20f8e766d58202c0cf3f3eaada9

Observation cf57b514-e825-4df5-b019-9d5da6d515f1 · outbound

This paper cites Disaster Monitoring using Unmanned Aerial Vehicles and Deep Learning.

Leaf diseases detection using deep learning methods Disaster Monitoring using Unmanned Aerial Vehicles and Deep Learning

Reference 3446

Resolution
unresolved
no resolver link, observed 2026-08-10T22:47:42.019318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:47:42.019318Z digest=sha256:46f6e956ec9979c48b675c3aca6fa2aa5a7d08f2031ea165bf07f25d2d122c3e

Observation b0995f56-1c4c-49b3-826f-aca274542b7b · outbound

This paper cites (2020) Plants disease phenotyping using quinary patterns as texture descriptor.

Leaf diseases detection using deep learning methods (2020) Plants disease phenotyping using quinary patterns as texture descriptor

Reference 5569

Resolution
unresolved
no resolver link, observed 2026-08-10T22:47:41.931086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:47:41.931086Z digest=sha256:f0191a2644729ccb378d6acf4b39a9ceb963ce6b16149bca5c8d567b738e8caf

Observation 0e8e02b2-55ba-45f9-aeb4-80cdbdef654e · outbound

This paper cites Automated leaf disease detection in different crop species through image featu res analysis and One Class Classifiers,.

Leaf diseases detection using deep learning methods Automated leaf disease detection in different crop species through image featu res analysis and One Class Classifiers,

Reference 6982

Resolution
verified exact
doi, observed 2026-08-10T22:47:42.247836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T22:47:42.101373Z digest=sha256:00362fdfc17d5ebaa6d5068299ea2398cc8962f39851379045cc8bb1bf0c6267

Observation 04c04b70-b0a1-4434-9e6e-3a3782801edb · outbound

This paper cites Convolutional Neural Networks in Detection of Plant Leaf Diseases: A Review.

Leaf diseases detection using deep learning methods Convolutional Neural Networks in Detection of Plant Leaf Diseases: A Review

Reference 7987

Resolution
verified exact
doi, observed 2026-08-10T22:47:42.221704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T22:47:42.159307Z digest=sha256:0d3d87434c4d1e0b84c0d2eb60ab2b3b85c7be12b1744f6c5f72fd0b096dca18

Observation a9ab83d3-45b1-4455-964c-858fb92a05bd · outbound

This paper cites Identification of disease using deep learning and evaluation of bacteriosis in peach leaf.

Leaf diseases detection using deep learning methods Identification of disease using deep learning and evaluation of bacteriosis in peach leaf

Reference 8915

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:47:43.258718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T22:47:42.178104Z digest=sha256:8f71484e106e39a53de0c6233aa71601783c728cf6c8bb4722ae29218a274728

Pith citing papers

No inbound Pith citation observations are available.