Journal of Guangxi Normal University(Natural Science Edition) ›› 2022, Vol. 40 ›› Issue (6): 59-68.doi: 10.16088/j.issn.1001-6600.2022021601

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Crop Pestsand Diseases Identification and Android Application Based on Lightweight CNN

NIU Xuede1, GAO Bingpeng1*, REN Rongrong2, XU Mingming1   

  1. 1. School of Electrical Engineering, Xinjiang University, Urumqi Xinjiang 830047, China;
    2. Intelligent Control Academy, Sichuan Vocational College of Information Technology, Guangyuan Sichuan 628040, China
  • Received:2022-02-16 Revised:2022-03-09 Online:2022-11-25 Published:2023-01-17

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Abstract: Aiming at the problems of cumbersome process, poor effect and difficult application of traditional pest and disease image recognition methods, this paper takes pictures of 17 leaf diseases and pests of three crops of tomato, corn and potato as the research subjects. By improving the MobileNetV3 network model and deploying it to the mobile terminal, the effective classification of images of various crop diseases and insect pests is achieved. First, random cropping, rotation and other preprocessing operations are performed on the images of pests and diseases, and data expansion is performed on the unbalanced samples. Then the prior knowledge learned by the MobileNetV3 network from the ImageNet dataset is applied to the pests and diseases dataset through the transfer learning strategy. After fine-tuning the parameters and using the RAdam optimizer, the improved lightweight network model is obtained. Finally, the model is ported to the Android mobile phone through the Android Studio development software. The experimental results show that the model has the advantages of high precision, small memory occupation, and fast recognition speed, which can meet the basic requirements for detection of crop leaf diseases and insect pests, and has important reference significance for the development of smart agriculture.

Key words: diseases and pests, classification of images, transfer learning, lightweight, Android mobile phone

CLC Number: 

  • S431.9
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