Research progress in crop disease and pest identification based on deep learning

doi:10.14088/j.cnki.issn0439-8114.2023.11.029

Abstract

Abstract: In order to effectively prevent and control crop diseases and pests, and ensure crop health, rapid and accurate identification of crop diseases and pests was a prerequisite for effective prevention and control.A review was conducted on the research on crop pest and disease identification, summarizing the development process of crop pest and disease identification methods. The focus was on analyzing the network structure, modeling key links, and six typical architectural features of deep learning. Combined with current research hotspots and application prospects, prospects were made from the construction of public datasets, integration of multiple imaging technologies, and optimization of large model performance.

Key words: deep learning, crop diseases and pests, image recognition, effective prevention and control

CLC Number:

S126

LI Zheng, LI Bao-xi, LI Zhi-hao, ZHAN Yi-fang, WANG Li-hua, GONG Qi. Research progress in crop disease and pest identification based on deep learning[J]. HUBEI AGRICULTURAL SCIENCES, 2023, 62(11): 165-169.

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