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Wheat Leaf Disease classification using modified ResNet50 Convolutional Neural Network model

2022-10-11

Abstract excerpt

Wheat leaf disease prevention and treatment requires a accurate and rapid classification of wheat leaf diseases and their extent. Using healthy wheat, leaf rust, crown and root rot, and wheat loose smut as research objects, this study proposes a deep learning-based technique for classifying the wheat leaf diseases. A collaborative generative adversarial network is used as an image imputation in the proposed method...

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Literature Corpus work
52a4c9e1-eb64-5a2a-80a9-ab86dcf63101
DOI
10.21203/rs.3.rs-2130789/v1
Open publication

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Wheat Leaf Disease classification using modified ResNet50 Convolutional Neural Network modelDOI 10.21203/rs.3.rs-2130789/v1
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