农作物病害图像识别研究进展和存在问题

doi:10.19640/j.cnki.jtau.2023.03.014

Journal of Tianjin Agricultural University ›› 2023, Vol. 30 ›› Issue (3): 75-79.doi: 10.19640/j.cnki.jtau.2023.03.014

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Research progress and problems in crop disease image recognition

Su Dan¹, Deng Yongzhuo^{2,Corresponding Author}

1. College of Computer and Information Engineering, Tianjin Agricultural University, Tianjin 300392, China;
2. Tianjin Agricultural Development Service Center, Tianjin 300061, China

Received:2021-07-09 Online:2023-06-30 Published:2023-09-06

Abstract

Abstract: Aiming at the problems of time-consuming and low efficiency of traditional identification methods, it is very important to realize intelligent, fast and accurate identification of crop disease types. This paper first introduces the development process of crop disease identification, then introduces the research progress of crop disease identification methods at home and abroad, and analyzes its advantages and disadvantages in crop disease identification. Finally, it points out the problems of current crop disease identification, such as environment, model structure and hardware conditions, so as to provide reference for future study on crop disease identification.

Key words: crop disease identification, deep learning, transfer learning, research progress

CLC Number:

TP31

Su Dan, Deng Yongzhuo. Research progress and problems in crop disease image recognition[J]. Journal of Tianjin Agricultural University, 2023, 30(3): 75-79.

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Research progress and problems in crop disease image recognition

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