Disease detection on the leaves of the tomato plants by using deep learning

By Halil Durmus, Ece Olcay Günes, Murvet Kirci. International Conference on Agro-Geoinformatics, 2017

418 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/ce2df898e84bd8815cc3b5a3bd079f069438393f

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In Plant Science

Citations in the corpus

Plant Diseases recognition on images using Convolutional Neural Networks: A Systematic Review (2020, methodology): “ages / 4 Class Controlled Environment Grape RGB MatLab Image Segmentation S98 [136] 2018 3 VGG 93,6% Customized 9.000 Images / 9 Class Controlled Environment Cucumbers RGB Caffe Transfer Learning S99 [137] 2017 4,5 AlexNet 95,65% PlantVillage 54.306 Images / 38 Class Controlled Environment Tomato RG”
Plant Disease Detection and Classification by Deep Learning (2019, methodology): “1 models were used in which AlexNet was found to be the better DL model in terms of accuracy [62].”
Early Detection and Classification of Tomato Leaf Disease Using High-Performance Deep Neural Network (2021, background): “AlexNet and SqueezeNet are deep learning architectures used to diagnose and categorize plant disease [42].”
Multilayer Convolution Neural Network for the Classification of Mango Leaves Infected by Anthracnose Disease (2019, background): “in [21] for the classification of plant leaf diseases.”
Plant Leaf Disease Detection and Classification Based on CNN with LVQ Algorithm (2018, methodology): “Representation learning algorithms makes optimizations to find the most convenient way to represent the data [5].”
Plant disease detection and classification techniques: a comparative study of the performances (2024, background): “The authors of [98] have done a study that used DL to detect tomato leaf diseases.”
A Survey of Deep Convolutional Neural Networks Applied for Prediction of Plant Leaf Diseases (2021, methodology): “SqueezeNet Squeeze layer and Expand layers 50 times fewer parameters than AlexNet.”
Plant leaf disease classification using EfficientNet deep learning model (2021, background): “In PlantVillage dataset, most of the studies (Amara et al., 2017; Brahimi et al., 2017; Cruz et al., 2017; Durmus et al., 2017; Rangarajan et al., 2018; Sibiya and Sumbwanyambe, 2019; Wallelign et al., 2018; Yamamoto et al., 2017; Zhang et al., 2018b) classify the diseases of a single plant species.”