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

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"Deep Learning Convolution Neural Network to Detect and Classify Tomato Plant Leaf Diseases"
written by Thair A. Salih, Ahmed J. Ali, Mohammed N. Ahmed,
published by Open Access Library Journal, Vol.7 No.5, 2020

has been cited by the following article(s):

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[4]	Comparative Analysis of Segmentation Models to Detect Leaf Diseases in Tomato Plant
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[7]	Detection of Diseases in Tomato Plant using Machine Learning.
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[8]	Recognition of leaf disease using hybrid convolutional neural network by applying feature reduction
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[9]	Tomato Plant Disease Classification Using Deep Learning Architectures: A Review
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[10]	An approach for characterization of infected area in tomato leaf disease based on deep learning and object detection technique
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[14]	ИДЕНТИФИКАЦИЯ БОЛЕЗНЕЙ ТОМАТОВ НА ОСНОВЕ МНОГОКЛАССОВОЙ КЛАССИФИКАЦИИ
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[15]	Tomato Spotted Wilt Disease Severity Levels Detection: A Deep Learning Methodology
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[16]	Literature Review of Disease Detection in Tomato Leaf using Deep Learning Techniques
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[17]	Apple scab detection using CNN and Transfer Learning
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[18]	Penerapan Algoritma Random Forest dengan Kombinasi Ekstraksi Fitur Untuk Klasifikasi Penyakit Daun Tomat
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[19]	Plant Disease Identification Using Discrete Wavelet Transforms and SVM
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[20]	Early detection and classification of tomato leaf disease using high-performance deep neural network
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[21]	Comparative Performance Analysis of Various Segmentation Models for Tomato Leaf Diseases


[22]	ПРОБЛЕМЫ АВТОМАТИКИ И УПРАВЛЕНИЯ

[1]	Classification of tomato leaf disease and combination extraction features using K-NN algorithm 2ND INTERNATIONAL CONFERENCE ON ADVANCED INFORMATION SCIENTIFIC DEVELOPMENT (ICAISD) 2021: Innovating Scientific Learning for Deep Communication, 2023 DOI:10.1063/5.0128539

[2]	Convolutional Neural Networks of Whole Jujube Fruits Prediction Model Based on Multi-Spectral Imaging Method Chinese Journal of Electronics, 2023 DOI:10.23919/cje.2021.00.149

[3]	Recognition of Leaf Disease Using Hybrid Convolutional Neural Network by Applying Feature Reduction Sensors, 2022 DOI:10.3390/s22020575

[4]	Accurate Detection of Chylous Blood Levels by Deep Learning IEEE Access, 2022 DOI:10.1109/ACCESS.2022.3189369

[5]	A Machine Intelligent Based Approach for the Classification and Analysis of Tomato Leaf Disease Images International Journal of Health Sciences and Pharmacy, 2022 DOI:10.47992/IJHSP.2581.6411.0083

[6]	A Deep Learning - based Approach for Tomato Plant Leaf Disease Detection and Classification 2022 3rd International Conference on Smart Electronics and Communication (ICOSEC), 2022 DOI:10.1109/ICOSEC54921.2022.9952007

[7]	Detection of Diseases in Tomato Plant using Machine Learning International Journal of Next-Generation Computing, 2022 DOI:10.47164/ijngc.v13i5.941

[8]	Effect of Several Parameters on Deep Multi-Layer CNN Model for Face Recognition 2022 International Conference on Data Science and Intelligent Computing (ICDSIC), 2022 DOI:10.1109/ICDSIC56987.2022.10075942

[9]	Literature Review of Disease Detection in Tomato Leaf using Deep Learning Techniques 2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS), 2021 DOI:10.1109/ICACCS51430.2021.9441714

[10]	Tomato Spotted Wilt Disease Severity Levels Detection: A Deep Learning Methodology 2021 8th International Conference on Signal Processing and Integrated Networks (SPIN), 2021 DOI:10.1109/SPIN52536.2021.9566053

[11]	Early Detection and Classification of Tomato Leaf Disease Using High-Performance Deep Neural Network Sensors, 2021 DOI:10.3390/s21237987

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