Deep Learning for Tomato Diseases: Classification and Symptoms Visualization

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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.”
Identification and recognition of rice diseases and pests using convolutional neural networks (2018, methodology): “[8] used ﬁne-tuned AlexNet and GoogleNet to detect nine diseases of tomatoes.”
Plant Disease Detection and Classification by Deep Learning—A Review (2021, background): “[35] introduced saliency maps to visualize the symptoms of plant diseases.”
A Survey of Deep Convolutional Neural Networks Applied for Prediction of Plant Leaf Diseases (2021, methodology): “Caffe provides ease of use for evaluating the performance of standard deep architectures than other frameworks such as Theano and Torch; it is used for implementing CNN-based models for plant disease identification as discussed in [35,36,39].”
Review on Convolutional Neural Network (CNN) Applied to Plant Leaf Disease Classification (2021, background): “(2017) [67] Classify nine diseases of tomato leaves 14,828 images AlexNet, GoogLeNet 99.”