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Tomato plant disease classification in digital images using classification tree

https://doi.org/10.1109/iccsp.2016.7754351

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

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Research of Maize Leaf Disease Identifying Models Based Image Recognition

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Image Recognition of Grape Downy Mildew and Grape Powdery Mildew Based on Support Vector Machine

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Identification of citrus disease using color texture features and discriminant analysis

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Plant Disease Severity Estimated Visually, by Digital Photography and Image Analysis, and by Hyperspectral Imaging

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Automated Image Analysis of the Severity of Foliar Citrus Canker Symptoms

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Quantitative Assessment of Lesion Characteristics and Disease Severity Using Digital Image Processing

inferredcites →https://doi.org/10.1117/12.205308openalex-snapshot

Similarity of color images

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Assessment of Severity of Powdery Mildew Infection of Sweet Cherry Leaves by Digital Image Analysis

inferredcites →https://doi.org/10.2307/2288003openalex-snapshot

Classification and Regression Trees.

inferredcites →https://doi.org/10.2307/2530946openalex-snapshot

Classification and Regression Trees.

inferredcites →https://doi.org/10.5120/2183-2754openalex-snapshot

Fast and Accurate Detection and Classification of Plant Diseases

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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inferred← citeshttps://doi.org/10.11591/ijai.v13.i1.pp925-932openalex-snapshot

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inferred← citeshttps://doi.org/10.1177/15741702241304087openalex-snapshot

Plant disease detection and classification techniques: A review

inferred← citeshttps://doi.org/10.1186/s12870-024-04825-yopenalex-snapshot

Using transfer learning-based plant disease classification and detection for sustainable agriculture

inferred← citeshttps://doi.org/10.1186/s13007-025-01423-3openalex-snapshot

VCPC: virtual contrastive constraint and prototype calibration for few-shot class-incremental plant disease classification

inferred← citeshttps://doi.org/10.12944/carj.11.1.28openalex-snapshot

Classification of Tomato Leaf Disease Using a Custom Convolutional Neural Network

inferred← citeshttps://doi.org/10.14569/ijacsa.2023.01405108openalex-snapshot

Ensemble of Deep Learning Models for Multi-plant Disease Classification in Smart Farming

inferred← citeshttps://doi.org/10.14569/ijacsa.2024.0150188openalex-snapshot

Deep Learning for Early Detection of Tomato Leaf Diseases: A ResNet-18 Approach for Sustainable Agriculture

inferred← citeshttps://doi.org/10.15622/ia.21.4.3openalex-snapshot

Apple Leaf Disease Classification Using Image Dataset: a Multilayer Convolutional Neural Network Approach

inferred← citeshttps://doi.org/10.17148/ijarcce.2024.13551openalex-snapshot

AN ENHANCED TOMATO PLANT DISEASE DETECTION AND CLASSIFICATION METHODOLOGY USING CNN

inferred← citeshttps://doi.org/10.17501/26827018.2023.7202openalex-snapshot

A STUDY OF PLANT DISEASE DETECTION AND CLASSIFICATION BY DEEP LEARNING APPROACHES

inferred← citeshttps://doi.org/10.17762/ijritcc.v11i4.6381openalex-snapshot

A Review on Detection of Medical Plant Images

inferred← citeshttps://doi.org/10.17762/ijritcc.v11i9s.7479openalex-snapshot

A Review on Tomato Leaf Disease Detection using Deep Learning Approaches

inferred← citeshttps://doi.org/10.17780/ksujes.1096541openalex-snapshot

DERİN ÖĞRENME YÖNTEMİ İLE BİTKİ YAPRAĞI HASTALIK SINIFLANDIRMA ÇALIŞMASI PERFORMANS ANALİZİ

inferred← citeshttps://doi.org/10.18196/eist.v5i1.22359openalex-snapshot

Analysis of Cross Validation on Classification of Mangosteen Maturity Stages using Support Vector Machine

inferred← citeshttps://doi.org/10.18280/rces.080303openalex-snapshot

Diagnosis of Leaf Surface Disease Using Two Datasets of Tomato and Rice Obtained from Image Processing Techniques

inferred← citeshttps://doi.org/10.18280/ts.390602openalex-snapshot

Evaluation of Machine Learning Models for Plant Disease Classification Using Modified GLCM and Wavelet Based Statistical Features

inferred← citeshttps://doi.org/10.21817/indjcse/2021/v12i2/211202051openalex-snapshot

AN LSTM BASED CNN MODEL FOR POMEGRANATE FRUIT CLASSIFICATION WITH WEIGHT OPTIMIZATION USING DRAGONFLY TECHNIQUE

inferred← citeshttps://doi.org/10.22214/ijraset.2021.34544openalex-snapshot

Plant Diseases Detection and Pesticide Suggestion using Transfer Learning

inferred← citeshttps://doi.org/10.22214/ijraset.2021.35375openalex-snapshot

Plant Diseases Detection and Pesticide Suggestion Implementation

inferred← citeshttps://doi.org/10.22214/ijraset.2022.40275openalex-snapshot

Plant Disease Detection and Fertilizer Suggestion

inferred← citeshttps://doi.org/10.22219/kinetik.v7i3.1486openalex-snapshot

KNN Algorithm for Identification of Tomato Disease Based on Image Segmentation Using Enhanced K-Means Clustering

inferred← citeshttps://doi.org/10.25147/ijcsr.2017.001.1.136openalex-snapshot

Development of Tomato Leaf Disease Detection using Single Shot Detector (SSD) Mobilenet V2

inferred← citeshttps://doi.org/10.30534/ijatcse/2021/161052021openalex-snapshot

A Chaotic Salp Swarm Feature Selection Algorithm for Apple and Tomato Plant Leaf Disease Detection

inferred← citeshttps://doi.org/10.30865/mib.v5i1.2624openalex-snapshot

Penerapan Algoritma Random Forest dengan Kombinasi Ekstraksi Fitur Untuk Klasifikasi Penyakit Daun Tomat

inferred← citeshttps://doi.org/10.31590/ejosat.1216380openalex-snapshot

Sınıflandırma Probleminde Derin Özellik Birleştirme Yaklaşımıyla Domates Yaprağı Görüntülerinde Hastalık Tespiti

inferred← citeshttps://doi.org/10.3233/apc210108openalex-snapshot

Tomato Leaf Disease Detection Using Hybrid CNN-RNN Model

inferred← citeshttps://doi.org/10.32628/cseit1724127openalex-snapshot

Virus Image Classification using PHOG and SGLDM Texture Features

inferred← citeshttps://doi.org/10.33687/ijae.009.02.2525openalex-snapshot

Shape and texture based classification of citrus using principal component analysis

inferred← citeshttps://doi.org/10.3389/fpls.2025.1530070openalex-snapshot

TomaFDNet: A multiscale focused diffusion-based model for tomato disease detection

inferred← citeshttps://doi.org/10.3390/a19020151openalex-snapshot

Integrating ShuffleNetV2 with Multi-Scale Feature Extraction and Coordinate Attention Combined with Knowledge Distillation for Apple Leaf Disease Recognition

inferred← citeshttps://doi.org/10.3390/agriculture9090196openalex-snapshot

Effect of Different Combinations of Red and Blue LED Light on Growth Characteristics and Pigment Content of In Vitro Tomato Plantlets

inferred← citeshttps://doi.org/10.3390/agriengineering7080248openalex-snapshot

TOM-SSL: Tomato Disease Recognition Using Pseudo-Labelling-Based Semi-Supervised Learning

inferred← citeshttps://doi.org/10.3390/agronomy13051184openalex-snapshot

Transform and Deep Learning Algorithms for the Early Detection and Recognition of Tomato Leaf Disease

inferred← citeshttps://doi.org/10.3390/agronomy13051314openalex-snapshot

Detection of Litchi Leaf Diseases and Insect Pests Based on Improved FCOS

inferred← citeshttps://doi.org/10.3390/agronomy9100618openalex-snapshot

Unmanned Aircraft System (UAS) Technology and Applications in Agriculture

inferred← citeshttps://doi.org/10.3390/ecsa-7-08160openalex-snapshot

Intelligent Plant Disease Identification System Using Machine Learning

inferred← citeshttps://doi.org/10.3390/electronics10091055openalex-snapshot

Detection of Diseases in Tomato Leaves by Color Analysis

inferred← citeshttps://doi.org/10.3390/electronics11172641openalex-snapshot

A Survey on Different Plant Diseases Detection Using Machine Learning Techniques

inferred← citeshttps://doi.org/10.3390/electronics12010229openalex-snapshot

Monitoring Tomato Leaf Disease through Convolutional Neural Networks

inferred← citeshttps://doi.org/10.3390/rs16234370openalex-snapshot

Techniques for Canopy to Organ Level Plant Feature Extraction via Remote and Proximal Sensing: A Survey and Experiments

inferred← citeshttps://doi.org/10.3390/s21237987openalex-snapshot

Early Detection and Classification of Tomato Leaf Disease Using High-Performance Deep Neural Network

inferred← citeshttps://doi.org/10.3390/sym16060723openalex-snapshot

Multifactorial Tomato Leaf Disease Detection Based on Improved YOLOV5

inferred← citeshttps://doi.org/10.34133/plantphenomics.0039openalex-snapshot

A Novel Feature Selection Strategy Based on Salp Swarm Algorithm for Plant Disease Detection

inferred← citeshttps://doi.org/10.35940/ijrte.c6458.0910321openalex-snapshot

Plant Disease Detection and Classification using CNN

inferred← citeshttps://doi.org/10.36106/ijsr/6935607openalex-snapshot

LATE BLIGHT SEGMENTATION IN TOMATOES USING SPATIAL DOMAIN METHODS AND COLOUR ANALYSIS

inferred← citeshttps://doi.org/10.3808/jei.202300492openalex-snapshot

Rice Plant Leaf Disease Detection and Classification Using Optimization Enabled Deep Learning

inferred← citeshttps://doi.org/10.3837/tiis.2019.04.015openalex-snapshot

Deep Learning based Rapid Diagnosis System for Identifying Tomato Nutrition Disorders

inferred← citeshttps://doi.org/10.4018/978-1-7998-9426-1.ch013openalex-snapshot

An Experiment to Find Disease Detection for Rice Plants Using ResNet

inferred← citeshttps://doi.org/10.4018/ijcvip.2019010104openalex-snapshot

Tomato Plant Leaves Disease Classification Using KNN and PNN

inferred← citeshttps://doi.org/10.4018/ijsi.315657openalex-snapshot

A Systematic Review on the Detection and Classification of Plant Diseases Using Machine Learning

inferred← citeshttps://doi.org/10.4018/ijssci.304439openalex-snapshot

A Robust Intelligent System for Detecting Tomato Crop Diseases Using Deep Learning

inferred← citeshttps://doi.org/10.4236/oalib.1106296openalex-snapshot

Deep Learning Convolution Neural Network to Detect and Classify Tomato Plant Leaf Diseases

inferred← citeshttps://doi.org/10.46254/in02.20220082openalex-snapshot

LDDNet: An Efficient Neural Network Model for Plant Leaf Diseases Detection

inferred← citeshttps://doi.org/10.47164/ijngc.v13i5.941openalex-snapshot

Detection of Diseases in Tomato Plant using Machine Learning

inferred← citeshttps://doi.org/10.47749/t/unicamp.2022.1250270openalex-snapshot

Identificação de HLB em plantações de citros utilizando redes convolucionais profundas

inferred← citeshttps://doi.org/10.52098/airdj.202127openalex-snapshot

Image Processing Technique for the Detection of Alberseem Leaves Diseases Based on Soft Computing

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