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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[8]	Recognition of leaf disease using hybrid convolutional neural network by applying feature reduction
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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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[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]	Plant Leaf Disease Prediction and Classification Using Deep Learning 2023 International Conference on Decision Aid Sciences and Applications (DASA), 2023 DOI:10.1109/DASA59624.2023.10286672

[4]	Intelligent Data Engineering and Automated Learning – IDEAL 2023 Lecture Notes in Computer Science, 2023 DOI:10.1007/978-3-031-48232-8_5

[5]	Potato Plant Leaf Disease Detection Using Deep Learning Method Tarım Bilimleri Dergisi, 2023 DOI:10.15832/ankutbd.1276722

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

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

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

[9]	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

[10]	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

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

[12]	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

[13]	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

[14]	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

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

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