Research and implementation of crop pests recognition method based on deep convolutional neural network

Yue Zhou; Qian Zhang; Ji Hu

doi:10.1117/12.2675243

25 May 2023 Research and implementation of crop pests recognition method based on deep convolutional neural network

Yue Zhou, Qian Zhang, Ji Hu

Proceedings Volume 12636, Third International Conference on Machine Learning and Computer Application (ICMLCA 2022); 126361N (2023) https://doi.org/10.1117/12.2675243
Event: Third International Conference on Machine Learning and Computer Application (ICMLCA 2022), 2022, Shenyang, China

Abstract

In this article, the deep convolutional neural network is applied to the recognition of diseases and insect pests of crops such as apple, grape and corn. By training the neural network model, adjusting the network layer number and introducing transfer learning, several network models such as AlexNet, ResNet, VGGNet and DenseNet are compared and combined with the network scale, Finally, ResNet is selected as the backbone network for consideration of recognition accuracy and other aspects. The server side adopts Django framework, displays the interface on PC platform, realizes the actual operation of crop disease and insect pest identification.

Citation Download Citation

Yue Zhou, Qian Zhang, and Ji Hu "Research and implementation of crop pests recognition method based on deep convolutional neural network", Proc. SPIE 12636, Third International Conference on Machine Learning and Computer Application (ICMLCA 2022), 126361N (25 May 2023); https://doi.org/10.1117/12.2675243

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