Paper Citation Record · LEDGER

Analysis of Plant Nutrient Deficiencies Using Multi-Spectral Imaging and Optimized Segmentation Model

As of 7 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 1 inbound Pith citation observation for arXiv:2507.14013.

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

pith.paper-citation-record.v1
2507.14013 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:15:30.825462Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T18:15:34.055839Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T18:23:50.931325Z

Reference resolution

33 of 33 outbound references displayed

verified exact0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 93dd7f76-eedb-4d21-a681-814d328a26a9 · outbound

This paper cites Talaviya, A.

Analysis of Plant Nutrient Deficiencies Using Multi-Spectral Imaging and Optimized Segmentation Model Talaviya, A

Reference 1

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Observation a4f17eb9-35b9-40e6-994c-8e11b0442684 · outbound

This paper cites an unresolved cited work.

Analysis of Plant Nutrient Deficiencies Using Multi-Spectral Imaging and Optimized Segmentation Model Unresolved cited work

Reference 2

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Observation 309f5f9a-ac36-49fb-8168-0f4347dbbe2c · outbound

This paper cites Papachristoforou, M.

Analysis of Plant Nutrient Deficiencies Using Multi-Spectral Imaging and Optimized Segmentation Model Papachristoforou, M

Reference 3

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This paper cites an unresolved cited work.

Analysis of Plant Nutrient Deficiencies Using Multi-Spectral Imaging and Optimized Segmentation Model Unresolved cited work

Reference 4

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Observation 25dba8fa-bb54-4053-9b3f-554cf8171e06 · outbound

This paper cites Charles, F.

Analysis of Plant Nutrient Deficiencies Using Multi-Spectral Imaging and Optimized Segmentation Model Charles, F

Reference 5

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Observation 68ef64f8-a783-4104-a416-e6c0e98d64fa · outbound

This paper cites an unresolved cited work.

Analysis of Plant Nutrient Deficiencies Using Multi-Spectral Imaging and Optimized Segmentation Model Unresolved cited work

Reference 6

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Observation d510b68b-becd-43f8-9cb5-a26c08790b83 · outbound

This paper cites Boris, C.-S.

Analysis of Plant Nutrient Deficiencies Using Multi-Spectral Imaging and Optimized Segmentation Model Boris, C.-S

Reference 7

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Observation 7ad26c33-192c-4d25-8b91-02e0b88e53eb · outbound

This paper cites an unresolved cited work.

Analysis of Plant Nutrient Deficiencies Using Multi-Spectral Imaging and Optimized Segmentation Model Unresolved cited work

Reference 8

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This paper cites an unresolved cited work.

Analysis of Plant Nutrient Deficiencies Using Multi-Spectral Imaging and Optimized Segmentation Model Unresolved cited work

Reference 9

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This paper cites doi:10.1016/j.aiia.2024.100197.

Analysis of Plant Nutrient Deficiencies Using Multi-Spectral Imaging and Optimized Segmentation Model doi:10.1016/j.aiia.2024.100197

Reference 10

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Observation c07fc4d5-786c-4fae-8f8b-6f0d46f64f4a · outbound

This paper cites Jocher, A.

Analysis of Plant Nutrient Deficiencies Using Multi-Spectral Imaging and Optimized Segmentation Model Jocher, A

Reference 11

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Observation 56096880-eef9-4c2c-b04c-38bd6aea2ca4 · outbound

This paper cites Vaswani, N.

Analysis of Plant Nutrient Deficiencies Using Multi-Spectral Imaging and Optimized Segmentation Model Vaswani, N

Reference 12

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Analysis of Plant Nutrient Deficiencies Using Multi-Spectral Imaging and Optimized Segmentation Model Unresolved cited work

Reference 13

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Observation d4fe8af2-67db-4854-bc56-6abc86f5556e · outbound

This paper cites Wolff, T.

Analysis of Plant Nutrient Deficiencies Using Multi-Spectral Imaging and Optimized Segmentation Model Wolff, T

Reference 14

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Observation a87747b6-4a7a-43ad-971d-5437a2777c4f · outbound

This paper cites Nguyen, J.

Analysis of Plant Nutrient Deficiencies Using Multi-Spectral Imaging and Optimized Segmentation Model Nguyen, J

Reference 15

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Observation c352dcfc-c8e8-43f8-bd01-cb99cb896709 · outbound

This paper cites an unresolved cited work.

Analysis of Plant Nutrient Deficiencies Using Multi-Spectral Imaging and Optimized Segmentation Model Unresolved cited work

Reference 16

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Observation 84a1e5ac-a794-4e42-b019-35b3b6be477e · outbound

This paper cites YOLOv3: An Incremental Improvement.

Analysis of Plant Nutrient Deficiencies Using Multi-Spectral Imaging and Optimized Segmentation Model YOLOv3: An Incremental Improvement

Reference 17

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Observation 21a982b7-1307-4cbc-bb3a-9d500e0847bd · outbound

This paper cites an unresolved cited work.

Analysis of Plant Nutrient Deficiencies Using Multi-Spectral Imaging and Optimized Segmentation Model Unresolved cited work

Reference 18

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Observation dca26631-f5d6-4789-a87c-ff3cd23db68e · outbound

This paper cites YOLOv4: Optimal Speed and Accuracy of Object Detection.

Analysis of Plant Nutrient Deficiencies Using Multi-Spectral Imaging and Optimized Segmentation Model YOLOv4: Optimal Speed and Accuracy of Object Detection

Reference 19

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This paper cites Jocher, et al., Yolov5 by ultralytics, GitHub repository (2021).

Analysis of Plant Nutrient Deficiencies Using Multi-Spectral Imaging and Optimized Segmentation Model Jocher, et al., Yolov5 by ultralytics, GitHub repository (2021)

Reference 20

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This paper cites an unresolved cited work.

Analysis of Plant Nutrient Deficiencies Using Multi-Spectral Imaging and Optimized Segmentation Model Unresolved cited work

Reference 21

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This paper cites an unresolved cited work.

Analysis of Plant Nutrient Deficiencies Using Multi-Spectral Imaging and Optimized Segmentation Model Unresolved cited work

Reference 22

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Observation e130468d-5f4f-4da8-9dab-91aab9a272cd · outbound

This paper cites Segment Anything.

Analysis of Plant Nutrient Deficiencies Using Multi-Spectral Imaging and Optimized Segmentation Model Segment Anything

Reference 23

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Analysis of Plant Nutrient Deficiencies Using Multi-Spectral Imaging and Optimized Segmentation Model Unresolved cited work

Reference 24

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This paper cites an unresolved cited work.

Analysis of Plant Nutrient Deficiencies Using Multi-Spectral Imaging and Optimized Segmentation Model Unresolved cited work

Reference 25

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Analysis of Plant Nutrient Deficiencies Using Multi-Spectral Imaging and Optimized Segmentation Model Unresolved cited work

Reference 26

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Analysis of Plant Nutrient Deficiencies Using Multi-Spectral Imaging and Optimized Segmentation Model Unresolved cited work

Reference 27

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This paper cites Nataprawira, Y.

Analysis of Plant Nutrient Deficiencies Using Multi-Spectral Imaging and Optimized Segmentation Model Nataprawira, Y

Reference 28

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Analysis of Plant Nutrient Deficiencies Using Multi-Spectral Imaging and Optimized Segmentation Model Unresolved cited work

Reference 29

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Analysis of Plant Nutrient Deficiencies Using Multi-Spectral Imaging and Optimized Segmentation Model Unresolved cited work

Reference 30

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Analysis of Plant Nutrient Deficiencies Using Multi-Spectral Imaging and Optimized Segmentation Model Unresolved cited work

Reference 31

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Observation 954c94de-1374-487e-a15a-c10703586210 · outbound

This paper cites Zhang, K.

Analysis of Plant Nutrient Deficiencies Using Multi-Spectral Imaging and Optimized Segmentation Model Zhang, K

Reference 32

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Analysis of Plant Nutrient Deficiencies Using Multi-Spectral Imaging and Optimized Segmentation Model Wada, Labelme: Image polygonal annotation with python, in: https://github.com/wkentaro/labelme, GPL-3, 2025, p

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Pith citing papers

Observation c11891a7-f91c-4ece-b9b9-41360648e994 · inbound

Hallucination Behavior in Multimodal LLMs Across Agricultural Image Interpretation and Generation Tasks cites this paper.

Hallucination Behavior in Multimodal LLMs Across Agricultural Image Interpretation and Generation Tasks Analysis of Plant Nutrient Deficiencies Using Multi-Spectral Imaging and Optimized Segmentation Model

Reference 12

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