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Deep learning-based segmentation and classification of leaf images for detection of tomato plant disease

https://doi.org/10.3389/fpls.2022.1031748

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Outgoing claims: the papers this work cites, builds on, or argues with.

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Comparative Study of Plant Disease Detection Techniques: A Performance-Based Review

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Improved Food Security of Bottle Gourd Leaf Disease by Federated Learning CNN: A Case Study

inferred← citeshttps://doi.org/10.1109/aisummit66170.2025.11410995openalex-snapshot

SegFormerDiffusion: A Transformer–Diffusion Hybrid for High-Resolution Potato-Leaf Lesion Segmentation

inferred← citeshttps://doi.org/10.1109/asiancon58793.2023.10270032openalex-snapshot

Tackling Agricultural Challenges of Red Globe Grapes Leaf Diseases: A Federated Learning CNN Approach

inferred← citeshttps://doi.org/10.1109/asiancon58793.2023.10270236openalex-snapshot

Mitigating the Impact of Guava Leaf Diseases Using CNNs and Federated Learning

inferred← citeshttps://doi.org/10.1109/auteee60196.2023.10408693openalex-snapshot

Using Improved DeepLabV3+ for Complex Scene Segmentation

inferred← citeshttps://doi.org/10.1109/autocom64127.2025.10956217openalex-snapshot

Deep Learning Meets Traditional AI: A Hybrid CNN-RF Model for Accurate and Explainable Skin Lesion Classification

inferred← citeshttps://doi.org/10.1109/autocom64127.2025.10957316openalex-snapshot

Optimizing Fraud Detection Systems with Sequential Feature Analysis CNN and SVM Classification

inferred← citeshttps://doi.org/10.1109/autocom64127.2025.10957377openalex-snapshot

Spatial-Sequential Analysis for Breast Cancer Diagnosis: Integrating CNN and LSTM Architectures

inferred← citeshttps://doi.org/10.1109/autocom64127.2025.10957474openalex-snapshot

Automated Serve Shot Classification in Table Tennis Using CNN-LSTM Framework

inferred← citeshttps://doi.org/10.1109/bigdata66926.2025.11400866openalex-snapshot

Towards an Integrated AI Pipeline for Disease Diagnosis and Quality Assessment in Coffee Production

inferred← citeshttps://doi.org/10.1109/biosmart66413.2025.11046055openalex-snapshot

Plant Leaf Disease Classification Using Fine-Tuned Pre-Trained CNN Models

inferred← citeshttps://doi.org/10.1109/caisais68078.2025.11440787openalex-snapshot

Real-Time Detection of Tomato Leaf Diseases Using YOLOv8m and SimAM Attention Module

inferred← citeshttps://doi.org/10.1109/ccem60455.2023.00039openalex-snapshot

An Ensemble Approach to Classify Severity Levels in Chili Leaf Diseases Through Federated Learning CNN

inferred← citeshttps://doi.org/10.1109/ccge67142.2026.11581672openalex-snapshot

Tomato Leaf Disease Detection Using Conditional GAN-Augmented EfficientNet with Grad-CAM-Based Visual Explainability

inferred← citeshttps://doi.org/10.1109/cei66465.2025.11398739openalex-snapshot

Tomato Maturity Detection Method Based on YOLOv10

inferred← citeshttps://doi.org/10.1109/comp-sif65618.2025.10969933openalex-snapshot

A Comprehensive Comparison of MobileNet, ResNet50 and InceptionV3 for Efficient Plant Pathology Detection

inferred← citeshttps://doi.org/10.1109/conit59222.2023.10205784openalex-snapshot

Empowering Precision Agriculture: Detecting Apple Leaf Diseases and Severity Levels with Federated Learning CNN

inferred← citeshttps://doi.org/10.1109/conit59222.2023.10205850openalex-snapshot

Advancing Agricultural Practices: Federated Learning-based CNN for Mango Leaf Disease Detection

inferred← citeshttps://doi.org/10.1109/conit59222.2023.10205922openalex-snapshot

Advanced Mango Leaf Disease Detection and Severity Analysis with Federated Learning and CNN

inferred← citeshttps://doi.org/10.1109/conit69683.2026.11621667openalex-snapshot

Deep Learning-Based Diagnostics for Lentil Crop Diseases: Evaluating Feature-Reuse, Residual, and Stacked Ensemble Architectures

inferred← citeshttps://doi.org/10.1109/csicc65765.2025.10967433openalex-snapshot

Low-Level Feature Representation in the RCSU-Net Model Using Channel-Spatial Attention Mechanism for Semantic Segmentation of Plant Leaves

inferred← citeshttps://doi.org/10.1109/cybercom63683.2024.10803247openalex-snapshot

Exploration of Tomato Leaves Diseases Classification Through Advanced Machine Learning and Deep Learning Models

inferred← citeshttps://doi.org/10.1109/dasa59624.2023.10286672openalex-snapshot

Plant Leaf Disease Prediction and Classification Using Deep Learning

inferred← citeshttps://doi.org/10.1109/dasa68193.2025.11499108openalex-snapshot

Deep Learning-Based Segmentation of Brain MRI for Predicting MGMT Gene Status Using a Multi-Modal U-Net Architecture

inferred← citeshttps://doi.org/10.1109/eaic66483.2025.11101371openalex-snapshot

Analyzing and Classifying Mango Leaf Diseases Using Advanced Image Processing and Deep Learning Techniques

inferred← citeshttps://doi.org/10.1109/gcat59970.2023.10353342openalex-snapshot

Towards Precise Lung Carcinoma Classification: Federated Learning Enhanced CNNs

inferred← citeshttps://doi.org/10.1109/gcat59970.2023.10353436openalex-snapshot

Reinventing Respiratory Diagnostics: Federated Learning & CNNs in Pneumonia Classification

inferred← citeshttps://doi.org/10.1109/gcat59970.2023.10353448openalex-snapshot

Pneumonia Severity Dissection: A Dive into Federated Learning Integrated with CNN

inferred← citeshttps://doi.org/10.1109/gcat59970.2023.10353455openalex-snapshot

Modernizing Lung Cancer Detection: The Federated Learning CNN Approach

inferred← citeshttps://doi.org/10.1109/gcat59970.2023.10353464openalex-snapshot

Transformative Approaches: Diagnosing Lung Diseases through Federated Learning CNN

inferred← citeshttps://doi.org/10.1109/i2ct61223.2024.10544233openalex-snapshot

Optimized Tomato Rot Disease Severity Profiling: A Hybrid CNN-Random Forest Algorithm for Five-Tier Categorization

inferred← citeshttps://doi.org/10.1109/iatmsi60426.2024.10502601openalex-snapshot

Detecting Jackfruit Leaf Disease with Advanced Federated CNN Models Brings New Frontiers

inferred← citeshttps://doi.org/10.1109/iatmsi60426.2024.10503064openalex-snapshot

Smart Farming: Integrated Federated Learning CNNs for Brinjal Leaf Disease Detection

inferred← citeshttps://doi.org/10.1109/iatmsi60426.2024.10503271openalex-snapshot

AI in Agriculture: A Federated Learning CNN Approach to Detecting Almond Leaf Disease

inferred← citeshttps://doi.org/10.1109/iatmsi60426.2024.10503438openalex-snapshot

A Synergistic Approach to Cucurbit Leaf Disease Classification with Federated Learning CNNs

inferred← citeshttps://doi.org/10.1109/icaaic64647.2025.11330742openalex-snapshot

Segmentation Based Detection of Jackfruit Diseases: A YOLOv11 Approach

inferred← citeshttps://doi.org/10.1109/icaccs60874.2024.10717272openalex-snapshot

Agricultural AI Insights: Deciphering Jute Leaf Diseases Through Federated Learning CNNs

inferred← citeshttps://doi.org/10.1109/icacctech65084.2024.00033openalex-snapshot

SVM and MSVM for Plant Disease Detection: A Comparative Study

inferred← citeshttps://doi.org/10.1109/icaiccit64383.2024.10912212openalex-snapshot

Artificial Intelligence based Plant Disease Detection System

inferred← citeshttps://doi.org/10.1109/icaiss58487.2023.10250455openalex-snapshot

Bean Leaf Disease Diagnosis in the Age of Federated Learning and CNN: A Severity Analysis Approach

inferred← citeshttps://doi.org/10.1109/icaiss58487.2023.10250481openalex-snapshot

Heritage Coin Identification using Convolutional Neural Networks: A Multi-Classification Approach for Numismatic Research

inferred← citeshttps://doi.org/10.1109/icast57874.2023.10359297openalex-snapshot

AleRes-Net: A deep learning model for detecting corn leaf diseases

inferred← citeshttps://doi.org/10.1109/icca62237.2024.10927996openalex-snapshot

Deep Learning Image-Based Plant Disease Classification - A Review

inferred← citeshttps://doi.org/10.1109/icccis60361.2023.10425289openalex-snapshot

Embracing Federated Learning and CNN for Distributed Diagnosis of Lung Diseases: A Novel Approach

inferred← citeshttps://doi.org/10.1109/icccmla63077.2024.10871724openalex-snapshot

A Comprehensive Analysis Of The Detection And Classification Of Potato And Corn Leaf Diseases Utilizing Deep Learning Methods

inferred← citeshttps://doi.org/10.1109/icccnt56998.2023.10307071openalex-snapshot

Exploring the Potential of Federated Learning CNN for Interactive Virtual Tours of UNESCO Cultural Heritage Sites: A Case Study

inferred← citeshttps://doi.org/10.1109/icccnt56998.2023.10307120openalex-snapshot

Innovative Approaches to Java Plum Leaf Disease Identification: Federated Learning meets Convolutional Neural Networks

inferred← citeshttps://doi.org/10.1109/icccnt56998.2023.10307130openalex-snapshot

Propelling Agritech Forward: Federated Learning and CNN for Sweet Potato Disease Diagnosis

inferred← citeshttps://doi.org/10.1109/icccnt56998.2023.10307198openalex-snapshot

Pioneering a Beetroot Disease Diagnosis with Federated Learning and CNN

inferred← citeshttps://doi.org/10.1109/icccnt61001.2024.10725433openalex-snapshot

Integrated Robotics System for Ripeness Detection, Tomato Harvesting and Leaf Disease Identification using CNN and YOLOv8

inferred← citeshttps://doi.org/10.1109/iccpct58313.2023.10244830openalex-snapshot

Apple Leaf Disease Recognition: A Robust Federated Learning CNN Methodology

inferred← citeshttps://doi.org/10.1109/iccpct58313.2023.10245357openalex-snapshot

Decentralized Detection of Cassava Leaf Diseases: A Federated Convolutional Neural Network Solution

inferred← citeshttps://doi.org/10.1109/iccubea65967.2025.11284235openalex-snapshot

Plant Disease Recognition Using Deep Learning Technique

inferred← citeshttps://doi.org/10.1109/icdabi60145.2023.10629423openalex-snapshot

Agricultural Revitalization through Federated Learning CNN in Data Analytics: A Case Study on Drumstick Leaf Disease

inferred← citeshttps://doi.org/10.1109/icdici62993.2024.10810867openalex-snapshot

Agricultural Leaf Disease Segmentation Approaches Using Deep Learning

inferred← citeshttps://doi.org/10.1109/icecte69292.2026.11429346openalex-snapshot

LeafNet-BD: Preventing Mango Sapling Fraud Using Deep Learning and Leaf Image Classification

inferred← citeshttps://doi.org/10.1109/icesc60852.2024.10689915openalex-snapshot

A Deep Learning Approach to Early Plant Disease Detection and Diagnosis Using Advanced Imaging

inferred← citeshttps://doi.org/10.1109/icetci71772.2026.11710593openalex-snapshot

Optimizing Lightweight Plant Disease Diagnostics: A PSO-Tuned MobileNetV2 Approach Across Multi-Domain Datasets

inferred← citeshttps://doi.org/10.1109/icetea64585.2025.11099985openalex-snapshot

Tomato Plant Disease Recognition Using EfficientDet

inferred← citeshttps://doi.org/10.1109/icicv68925.2026.11554792openalex-snapshot

Deep Learning Approaches for Detection and Classification of Tomato Leaf Diseases: A Comparative Analysis

inferred← citeshttps://doi.org/10.1109/icimia67127.2025.11200793openalex-snapshot

Plant Leaf Disease Prediction using Deep Learning Algorithm with Fertilizer Suggestion

inferred← citeshttps://doi.org/10.1109/icipcn67432.2026.11438641openalex-snapshot

Explainable Diabetic Retinopathy Diagnosis using a Hybrid Vision Transformer–CNN Model with Grad-CAM Visualization

inferred← citeshttps://doi.org/10.1109/icirca65293.2025.11089689openalex-snapshot

Improving SE-AlexNet for Plant Disease Classification: A Comparison with Conventional Classifiers

inferred← citeshttps://doi.org/10.1109/icmacc62921.2024.10893903openalex-snapshot

Smart Monitoring of Leg Exercises in Fitness Centers: A CNN-LSTM Model for Enhanced Gym Safety and Efficiency

inferred← citeshttps://doi.org/10.1109/icmcsi64620.2025.10883355openalex-snapshot

Botanical Bio Vision: Advancing Plant Leaf Disease Classifications with Convolutional Neural Network

inferred← citeshttps://doi.org/10.1109/icoeca66273.2025.00153openalex-snapshot

Understanding E-Commerce Consumer Behavior with CNN-LSTM: A Data-Driven Approach

inferred← citeshttps://doi.org/10.1109/icoei56765.2023.10125891openalex-snapshot

Detecting Tomato Crop Diseases with AI: Leaf Segmentation and Analysis

inferred← citeshttps://doi.org/10.1109/icrito66076.2025.11241535openalex-snapshot

Cropsense: Explainable Deep Learning Framework for Accurate Quality Detection in Solanaceous Crops

inferred← citeshttps://doi.org/10.1109/icsccc69031.2026.11600230openalex-snapshot

From U-Net to Transformers: Deep Learning for Plant Disease Image Segmentation Over Six Years

inferred← citeshttps://doi.org/10.1109/icssas57918.2023.10331902openalex-snapshot

Tomato Leaf Disease Detection using Feature Extraction and Machine Learning Techniques

inferred← citeshttps://doi.org/10.1109/icstcee60504.2023.10585176openalex-snapshot

Innovative Severity Assessment of Almond Leaf Diseases using Federated Learning CNNs

inferred← citeshttps://doi.org/10.1109/ictc66702.2025.11388431openalex-snapshot

Rethinking GAN-Augmented Data: A Case Study on Leaf-GAN for Tomato Leaf Disease Classification

inferred← citeshttps://doi.org/10.1109/icvadv67766.2026.11470371openalex-snapshot

Leveraging the ConvNeXt-L Model for Tomato Leaf Disease Classification

inferred← citeshttps://doi.org/10.1109/incet57972.2023.10169991openalex-snapshot

Next-Generation Wheat Disease Monitoring: Leveraging Federated Convolutional Neural Networks for Severity Estimation

inferred← citeshttps://doi.org/10.1109/incet57972.2023.10170499openalex-snapshot

Revolutionizing Maize Disease Management with Federated Learning CNNs: A Decentralized and Privacy-Sensitive Approach

inferred← citeshttps://doi.org/10.1109/incet64471.2025.11140827openalex-snapshot

Deep Learning for Fraud Detection: A CNN-SVM Model with Temporal Feature Optimization and Statistical Insights

inferred← citeshttps://doi.org/10.1109/inspect67393.2025.11350356openalex-snapshot

CropSense: Deep Learning Approach for Quality Detection in Solanaceous Crops

inferred← citeshttps://doi.org/10.1109/nana60121.2023.00042openalex-snapshot

ST-MobileNetV3: A Lightweight Network Model for Strawberry Disease Identification

inferred← citeshttps://doi.org/10.1109/otcon65728.2025.11070450openalex-snapshot

Citrus Leaf Disease Prediction and Classification using RESNET in Deep Learning

inferred← citeshttps://doi.org/10.1109/rmkmate64874.2025.11042598openalex-snapshot

Multi-Architecture Deep Learning Framework for Plant Disease Detection and Classification in Smart Agriculture

inferred← citeshttps://doi.org/10.1109/smart59791.2023.10428555openalex-snapshot

Enabling Precision Agriculture: A Federated Learning CNN Approach to Diagnosing Jackfruit Leaf Diseases

inferred← citeshttps://doi.org/10.1109/upcon59197.2023.10434321openalex-snapshot

Towards Sustainable Agriculture: Federated CNN Models for Cucurbit Leaf Disease Detection

inferred← citeshttps://doi.org/10.1109/wconf58270.2023.10234982openalex-snapshot

Spinach Leaf Disease Detection and Severity Analysis: Breaking New Ground with Federated Learning and CNN

inferred← citeshttps://doi.org/10.1155/2024/5057538openalex-snapshot

A Custom Backbone UNet Framework with DCGAN Augmentation for Efficient Segmentation of Leaf Spot Diseases in Jasmine Plant

inferred← citeshttps://doi.org/10.11591/eei.v13i1.6073openalex-snapshot

Tomato pest recognition using convolutional neural network in Bangladesh

inferred← citeshttps://doi.org/10.1177/10943420251408184openalex-snapshot

Advanced state-of-the-art approaches in image processing techniques for plant leaf diseases analysis

inferred← citeshttps://doi.org/10.1186/s12870-026-08847-6openalex-snapshot

An attention-based deep learning model for early detection of polyphagous shot hole borer infestations in plants

inferred← citeshttps://doi.org/10.1186/s13007-023-01044-8openalex-snapshot

A CNN-LSTM-att hybrid model for classification and evaluation of growth status under drought and heat stress in chinese fir (Cunninghamia lanceolata)

inferred← citeshttps://doi.org/10.1186/s13007-024-01316-xopenalex-snapshot

Automated pipeline for leaf spot severity scoring in peanuts using segmentation neural networks

inferred← citeshttps://doi.org/10.1186/s13007-025-01450-0openalex-snapshot

Recent advances in plant disease detection: challenges and opportunities

inferred← citeshttps://doi.org/10.1186/s13634-026-01352-wopenalex-snapshot

High-accuracy tomato leaf disease classification using adaptive squeeze-and-excitation blocks with improved DRSN

inferred← citeshttps://doi.org/10.1186/s40537-023-00863-9openalex-snapshot

Plant disease detection and classification techniques: a comparative study of the performances

inferred← citeshttps://doi.org/10.1515/9783111612034-001openalex-snapshot

11 Leveraging computational intelligence and mathematical modeling for sustainable future in agriculture: a unified paradigm for recognizing tomato leaf diseases

inferred← citeshttps://doi.org/10.1515/joc-2025-0196openalex-snapshot

Multiple crop disease detection using EfficientNetB0 – a CNN model

inferred← citeshttps://doi.org/10.17148/ijireeice.2024.12609openalex-snapshot

SOME VEGETABLE PLANT DISEASE DETECTION FROM LEAF IMAGES USING RESNET-9

inferred← citeshttps://doi.org/10.21203/rs.3.rs-4797098/v1openalex-snapshot

Innovative Leaf Disease Mapping: Unsupervised Anomaly Detection for Precise Area Estimation

inferred← citeshttps://doi.org/10.21203/rs.3.rs-5292144/v1openalex-snapshot

A novel approach using the local sketch and its variations for image retrieval in education

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