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Apple leaf disease identification via improved CycleGAN and Convolutional Neural Network

2022-09-29

Abstract excerpt

<title>Abstract</title> <p>The identification of apple leaf diseases is crucial to reduce yield reduction and timely take disease control measures. Employing machine learning-based methods, such as deep learning for accurate identification of multiple apple leaf diseases is challenging because of the limited availability of samples for supervised training and the serious class imbalance. Hence, this paper propose...

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Literature Corpus work
69c20a22-7923-5754-a71d-025e113f5c14
DOI
10.21203/rs.3.rs-658069/v1
Open publication

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Apple leaf disease identification via improved CycleGAN and Convolutional Neural NetworkDOI 10.21203/rs.3.rs-658069/v1
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