Huaxin Zhou1,2, Ziying Fang3, Yilin Wang4, Mengjun Tong1,2,*
CMC-Computers, Materials & Continua, Vol.76, No.1, pp. 175-194, 2023, DOI:10.32604/cmc.2023.037342
Abstract Plant diseases have become a challenging threat in the agricultural
field. Various learning approaches for plant disease detection and classification have been adopted to detect and diagnose these diseases early. However,
deep learning entails extensive data for training, and it may be challenging
to collect plant datasets. Even though plant datasets can be collected, they
may be uneven in quantity. As a result, the problem of classification model
overfitting arises. This study targets this issue and proposes an auxiliary
classifier GAN (small-ACGAN) model based on a small number of datasets
to extend the available data. First, after comparing various attention… More >
Login
Register
