Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T22:47:42.183525Z
Paper Citation Record · LEDGER
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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T22:47:42.183525Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
64 of 64 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 7b2c04fd-b987-4953-b607-15ee70c6b18b · outbound
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
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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Observation 7f1c645c-df9a-4a7b-80ec-70c992c8b86a · outbound
Leaf diseases detection using deep learning methods Unresolved cited work
Reference 4
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Observation d934fa09-93ba-46cf-aa98-3884ccb7a9bc · outbound
Leaf diseases detection using deep learning methods Grape crop disease c lassification using transfer learning approach,
Reference 6
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Observation 971be8af-d149-481e-8b6a-c8e369264939 · outbound
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
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
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
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
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
Leaf diseases detection using deep learning methods MIT Press
Reference 19
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Observation 931da905-677b-401d-8c7d-9d16e3912b3c · outbound
Leaf diseases detection using deep learning methods MIT Press, Cambridge, MA
Reference 21
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Observation 1fc54caf-1590-433d-b1eb-6ecff829c454 · outbound
Leaf diseases detection using deep learning methods Unresolved cited work
Reference 24
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Observation 78f7ef69-e37d-47a1-907e-1a60ea359a79 · outbound
Leaf diseases detection using deep learning methods 1097–1105
Reference 25
Source-reported events for the cited work
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Observation 456bf18a-9680-457d-8100-a5e56d1da317 · outbound
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
Leaf diseases detection using deep learning methods Identification of Apple Leaf Diseases Based on Deep Convolutional Neural Networks,
Reference 31
Source-reported events for the cited work
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Observation d55c2ec0-d9a6-4b2b-a838-e94c7239b119 · outbound
Leaf diseases detection using deep learning methods v.16, no.83.URL.https://plantmethods
Reference 35
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.
Observation 074b3081-1992-447f-b1e5-ff85b2fe16ae · outbound
Leaf diseases detection using deep learning methods classification of tomato leaf diseases using Mobilenetv2,
Reference 37
Source-reported events for the cited work
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Observation 811ae0cf-f9f1-4eb9-a4d1-318c26ff86d7 · outbound
Leaf diseases detection using deep learning methods Deep convolutional neural networks for mobile capture device -based crop disease classification in the wild,
Reference 44
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.
Observation f63e2921-17fb-4470-a0e6-1e15be86f704 · outbound
Leaf diseases detection using deep learning methods YOLOv3: An Incremental Improvement
Reference 48
Source-reported events for the cited work
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Observation 46f61d2a-9583-40b6-b4e5-edc8d1080007 · outbound
Leaf diseases detection using deep learning methods Real -time detection of maize crop disease via a dee p learning -based smartphone app,
Reference 49
Source-reported events for the cited work
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Observation a10f9074-a49b-4fad-9683-815e9ce1b3d0 · outbound
Leaf diseases detection using deep learning methods In: Navab, N., Hornegger, J., Wells, W.M
Reference 50
Source-reported events for the cited work
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Observation 076774d1-ba2a-4575-a3d0-30501ff2ab83 · outbound
Leaf diseases detection using deep learning methods Meta-Heuristic Based Deep Learning Model for Leaf Diseases Detection
Reference 51
Source-reported events for the cited work
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Observation d2168596-7620-45b3-bc28-0f4703f0965a · outbound
Leaf diseases detection using deep learning methods Artificial intelligence tools and their capabilities,
Reference 53
Source-reported events for the cited work
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Observation 2c8ca3bf-aa1e-4a76-9f43-103271542733 · outbound
Leaf diseases detection using deep learning methods Rethinkin the inception architecture for computer vision,
Reference 56
Source-reported events for the cited work
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Observation e4b4b2b9-9aef-4ba8-80c4-f8b01eba5bf8 · outbound
Leaf diseases detection using deep learning methods Very Deep Convolutional Networks for Large-Scale Image Recognition
Reference 60
Source-reported events for the cited work
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Observation e7238a4c-2946-4f5e-aced-12727178d3ee · outbound
Leaf diseases detection using deep learning methods Transfer learning-based deep ensemble neural network for plant leaf disease detection
Reference 61
Source-reported events for the cited work
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Observation b17454f0-8d83-457f-858f-3481123c7dc5 · outbound
Leaf diseases detection using deep learning methods A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection
Reference 62
Source-reported events for the cited work
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Observation ab1567ea-b8d3-48d9-9bf6-5ad5b483f72e · outbound
Leaf diseases detection using deep learning methods EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Reference 102
Source-reported events for the cited work
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Observation 7c11a19c-bcd0-4194-a2ee-c33519689b40 · outbound
Leaf diseases detection using deep learning methods Disease classification in eggplant using pre-trained vgg16 and msvm
Reference 272
Source-reported events for the cited work
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Observation b4f8798e-0ad2-43e2-b240-e739494052d6 · outbound
Leaf diseases detection using deep learning methods Visual tea leaf disease recognition using a convolutional neural network model
Reference 343
Source-reported events for the cited work
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Observation 50fda94c-c5d7-47ec-a7f1-0726a7dd1038 · outbound
Leaf diseases detection using deep learning methods Deep residual learning for image recognition,
Reference 439
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Observation 2f4a5569-a0fe-463a-b4dc-01f6291c0c94 · outbound
Leaf diseases detection using deep learning methods Unresolved cited work
Reference 578
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Observation 1926eef2-304a-4e86-82b7-5f88985b45d0 · outbound
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
Leaf diseases detection using deep learning methods G., Bao, F
Reference 1035
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Observation 3a139089-ac65-4d38-af11-c21756485554 · outbound
Leaf diseases detection using deep learning methods Identification of apple leaf diseases based on deep convolutional neural networks
Reference 1082
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Observation 9bd4d8d6-dfa0-4e24-9de5-954ee6c5d69e · outbound
Leaf diseases detection using deep learning methods University, P
Reference 1192
Source-reported events for the cited work
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Observation b1572964-d443-4932-879d-6aad152cb420 · outbound
Leaf diseases detection using deep learning methods Plant Disease Detection Using Deep Convolutional Neural Network
Reference 1266
Source-reported events for the cited work
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Observation 83237c15-c045-48f9-81c9-f989d70b00b5 · outbound
Leaf diseases detection using deep learning methods AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty
Reference 1388
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Observation 41851e8a-3d1d-4ea7-bd29-37eee513b768 · outbound
Leaf diseases detection using deep learning methods Using deep learning for image -based plant disease detection
Reference 1419
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Observation 7ab1ba70-4349-4a4b-9450-61032f9a8052 · outbound
Leaf diseases detection using deep learning methods Randaugment: Practical automated data augmentation with a reduced search space
Reference 1741
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Observation e67bc866-914f-498a-9a97-100eb0c23b71 · outbound
Leaf diseases detection using deep learning methods A mobile -based deep learning model for cassava diseas e diagnosis
Reference 1852
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Observation f944458e-887e-435f-8f7d-4091dae6290e · outbound
Leaf diseases detection using deep learning methods Unresolved cited work
Reference 1943
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Observation 690054b5-c918-4a75-a450-a6ea3ff3a708 · outbound
Leaf diseases detection using deep learning methods A robust deep-learning-based detector for real-time tomato plant diseases and pests’ recognition
Reference 1958
Source-reported events for the cited work
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Observation 05db5419-7559-4f84-bc35-349825f6b73a · outbound
Leaf diseases detection using deep learning methods Practical issues in temporal difference learning. Machine Learning
Reference 1992
Source-reported events for the cited work
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Observation 7f73929b-a752-4c62-84af-d927bed8ea70 · outbound
Leaf diseases detection using deep learning methods Deep Convolutional Neural Network for Plant Seedlings Classification
Reference 1993
Source-reported events for the cited work
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Observation b5c142c7-5912-44c6-8e95-24d286bf1f2f · outbound
Leaf diseases detection using deep learning methods Unresolved cited work
Reference 1998
Source-reported events for the cited work
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Observation 1c2ff926-55ea-4221-a6bd-cc29ec8ac99f · outbound
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
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.
Observation 94e8675b-5aa2-46f8-8f10-7ec6536bdafe · outbound
Leaf diseases detection using deep learning methods Learning deep architectures for AI. Foundations and trends, in Machine Learning
Reference 2009
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Observation 6f08e22e-d803-4a95-9ac7-022a4dfe84cf · outbound
Leaf diseases detection using deep learning methods Unresolved cited work
Reference 2010
Source-reported events for the cited work
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Observation 44c884ec-376a-4ae5-b2b5-1ca7b73cb871 · outbound
Leaf diseases detection using deep learning methods In: 2014 IEEE Conference on Computer Vision and Pattern Recognition, pp
Reference 2014
Source-reported events for the cited work
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Observation 6d2759bf-65b4-42c5-9d7f-26847110f822 · outbound
Leaf diseases detection using deep learning methods crop monitoring: Using mobilenet models,
Reference 2015
Source-reported events for the cited work
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Observation 475e4dae-15bc-4bb0-a0e4-9f7e5e9f4f9a · outbound
Leaf diseases detection using deep learning methods An Analysis of Deep Neural Network Models for Practical Applications
Reference 2016
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 80a8861f-7c7f-4935-9ded-534d96974e8f · outbound
Leaf diseases detection using deep learning methods A deep learning-based approach for banana leaf diseases classification
Reference 2017
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.
Observation a740b85e-d5e1-468c-ad6e-7bdc1b83cc44 · outbound
Leaf diseases detection using deep learning methods Identification of tomato leaf diseases based on combination of ABCK -BWTR and B- ARNet
Reference 2018
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7ce52f7b-f8ab-4e7a-b6ad-deb0658b29fc · outbound
Leaf diseases detection using deep learning methods Electronics 8.https://www.mdpi.com/2079 - 9292/8/3/292
Reference 2019
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.
Observation a5dff376-7c7b-44c0-9885-1c6bcd799be9 · outbound
Leaf diseases detection using deep learning methods Retrieved August 15, 2020 from https://d2l.ai/d2l-en.pdf
Reference 2020
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.
Observation 458218d2-96cd-4a74-b8ef-ceb2e74dc70c · outbound
Leaf diseases detection using deep learning methods Automatic detection of tomato diseases and pests based on leaf images,
Reference 2021
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.
Observation dbfb8175-9bd7-4d4d-b6d1-0d5b74f77acc · outbound
Leaf diseases detection using deep learning methods Identification of plant leaf diseases using a nine-layer deep convolutional neural network
Reference 2022
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.
Observation 5a371339-66da-4e67-ab70-74b973026e08 · outbound
Leaf diseases detection using deep learning methods Tomato crop disease classification using pre- trained deep learning algorithm
Reference 2322
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.
Observation cf57b514-e825-4df5-b019-9d5da6d515f1 · outbound
Leaf diseases detection using deep learning methods Disaster Monitoring using Unmanned Aerial Vehicles and Deep Learning
Reference 3446
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b0995f56-1c4c-49b3-826f-aca274542b7b · outbound
Leaf diseases detection using deep learning methods (2020) Plants disease phenotyping using quinary patterns as texture descriptor
Reference 5569
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0e8e02b2-55ba-45f9-aeb4-80cdbdef654e · outbound
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
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.
Observation 04c04b70-b0a1-4434-9e6e-3a3782801edb · outbound
Leaf diseases detection using deep learning methods Convolutional Neural Networks in Detection of Plant Leaf Diseases: A Review
Reference 7987
Source-reported events for the cited work
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Observation a9ab83d3-45b1-4455-964c-858fb92a05bd · outbound
Leaf diseases detection using deep learning methods Identification of disease using deep learning and evaluation of bacteriosis in peach leaf
Reference 8915
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.
No inbound Pith citation observations are available.