Open Access Library Journal

Open Access Library Journal

ISSN Print: 2333-9705
ISSN Online: 2333-9721
www.scirp.org/journal/oalibj
E-mail: service@oalib.com
"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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[12] Plant Leaf Disease Prediction and Classification Using Deep Learning
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[13] A Deep Learning for Early Tomato Leaf Disease Detection: A CNN Approach
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[17] Design Optimal Neural Network for Solving Unsteady State Confined Aquifer Problem.
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[18] Disruptive technologies for smart farming in developing countries: Tomato leaf disease recognition systems based on machine learning
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[19] Artificial Intelligence based drone for early disease detection and precision pesticide management in cashew farming
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[20] DELM: Deep Ensemble Learning Model for Multiclass Classification of Super-Resolution Leaf Disease Images
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[22] Leaf disease detection using machine learning and deep learning: Review and challenges
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[23] Transform and deep learning algorithms for the early detection and recognition of tomato leaf disease
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[24] Using Deep Convolution Neural Network to Detect the Wrong Movement in Physical Education Teaching and Training
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[26] Detection and Classification of The Osteoarthritis in Knee Joint Using Transfer Learning with Convolutional Neural Networks (CNNs)
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[27] Comparative Analysis of Segmentation Models to Detect Leaf Diseases in Tomato Plant
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[30] Detection of Diseases in Tomato Plant using Machine Learning.
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[31] Comparative Performance Analysis of Various Segmentation Models for Tomato Leaf Diseases
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[32] ИДЕНТИФИКАЦИЯ БОЛЕЗНЕЙ ТОМАТОВ НА ОСНОВЕ МНОГОКЛАССОВОЙ КЛАССИФИКАЦИИ
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[34] Recognition of leaf disease using hybrid convolutional neural network by applying feature reduction
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[35] Tomato Plant Disease Classification Using Deep Learning Architectures: A Review
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[39] Convolutional Neural Networks of Whole Jujube Fruits Prediction Model Based on Multi-Spectral Imaging Method
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[40] The Role of CNN in Detection and Prediction of Tomato Leaf Disease: A review
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[41] Effect of Several Parameters on Deep Multi-Layer CNN Model for Face Recognition
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[43] Tomato Spotted Wilt Disease Severity Levels Detection: A Deep Learning Methodology
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[44] Literature Review of Disease Detection in Tomato Leaf using Deep Learning Techniques
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[45] Apple scab detection using CNN and Transfer Learning
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[46] Penerapan Algoritma Random Forest dengan Kombinasi Ekstraksi Fitur Untuk Klasifikasi Penyakit Daun Tomat
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[47] Plant Disease Identification Using Discrete Wavelet Transforms and SVM
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[48] Early detection and classification of tomato leaf disease using high-performance deep neural network
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[50] Review of the Deep Learning Framework for Automatic Detection and Classification of Tomato Leaf Disease Prediction
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