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Paper Citation Record · LEDGER

Leaf diseases detection using deep learning methods

As of 18 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.

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measured 64 of 64 standing notices

One-hop event checks from named stored sources.

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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

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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

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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

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Leaf diseases detection using deep learning methods Unresolved cited work

Reference 4

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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

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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

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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

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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

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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

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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

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

This paper cites MIT Press.

Leaf diseases detection using deep learning methods MIT Press

Reference 19

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This paper cites MIT Press, Cambridge, MA.

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

Reference 21

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Leaf diseases detection using deep learning methods Unresolved cited work

Reference 24

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This paper cites 1097–1105.

Leaf diseases detection using deep learning methods 1097–1105

Reference 25

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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

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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

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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

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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.

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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

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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

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Source-reported events for the cited work

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

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

Reference 48

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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

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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

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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

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This paper cites Artificial intelligence tools and their capabilities,.

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

Reference 53

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

Reference 56

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

Reference 60

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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

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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

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

Reference 102

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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

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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

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

Reference 439

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Leaf diseases detection using deep learning methods Unresolved cited work

Reference 578

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

Reference 884

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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

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

Reference 1082

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Leaf diseases detection using deep learning methods University, P

Reference 1192

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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

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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.

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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

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Unavailable: canonical work link unavailable.

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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

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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.

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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

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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:b2228fdae8122d5f17f689f3ef7f473318ca87804e94912817bbe282e8d6d52b

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

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verified fuzzy
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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.

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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=sha256:7a02a5ade8c3a0faf787631d4b91fd0fa7b3081d9eb8c4a525de9145e94fa3cd

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=sha256:18917f4f7d2beafd4e83bea7bf17c9d19bd092470d6d48283db53fc1b5d34788

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=sha256:49272b897071bd97229a8be5e037089d846a2fba44f626698e8d3b03ff55cf36

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=sha256:8bcf813af108c0f04c896957c132991a6035d2c3a9ffcbfb8748b463360263b3

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

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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=sha256:4e6deec328827b23801c8e2a2cef04210f4553a0a4d0d935c28f0b2b91a1b4c8

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=sha256:71f3b89a51baf51a251a7c6077f26eaade510d12175bb9827d8e9be4ec300fb6

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=sha256:544f355026e18ca3135dc42059dc1c5db42bf85c5e3a9db37118e80b17482fc1

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=sha256:92466df3f4fee1c2d73365b36d7f0f1cc5b08ae790966ee5ec964f2927513eb8

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

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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=sha256:52c797a7a9c5bfe97af4e896d5e066fe1952277e761f6d1b3cf602e376bba8dc

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=sha256:35b49ab0b0c35027460781f41cb11bd3f57c28b6a9fbb3ca9b78757ca61ebe94

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

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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=sha256:25fd4df807285f1acd2bdf2cdd60e3edf901de164dd7edd1bcdebe52ba13a52d

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:e6664b1cb645ba041e03d66c962cf8a8ead71df12dd55e7d241feb4d910dd8a1

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=sha256:8b2b56057e5a1531e9c1ba974f078fcc5a01952c15d34ecc66697a3cfdb590e2

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

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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=sha256:7bcca9b7deb1c2d57e25d192462f7c8387b48cd5f663b5cbd2e9d8f7e61f4849

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=sha256:9638f208f272017fc44c8af3f351d9479bf3db47d49bd55bd200f575f76bd435

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:cccd98e1a24f087eddafefb4022086eb43aac326776ec5bae754eae63b1d3ebf

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.

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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=sha256:54b618199ed9f1f1355b7477031c8e255f8d16a0483f24eb48c2a61e3cde4b2b

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
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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=sha256:5763590a2570e266989b3e327951e8ae03a87f5f36eb41b138be51f79d111f71

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=sha256:72b47d8d28321d05d07c4b88baa62ff7ace6c06f057ec63d57d5a3b06e0d2142

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:f2d54ffaf7b09f80ab62b3693ba16fd74747092cbf6ed3e383e36cb3debb91a0

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:a4c5dcb3098773726bd2cbfee6c453e109e1f16efc958c5fe2b86e5a41211099

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=sha256:14cc659f3a9bd9be279a5ab10b8b7e7710f7623dadafeb18359a77dcb908bbf9

Pith citing papers

No inbound Pith citation observations are available.