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Research Progress on Intelligent Identification Technology of Cucumber Diseases
YANG Zhendong, LUO Wei, LUO Chen, JIANG Hongxun, ZHANG Ying, SONG Shumin, SHI Yiming, YU Yanling, YANG Tianliang, MA Zhongjie, FENG Xiao, YANG Fan
Journal of Henan Agricultural Sciences
2025, 54 (4):
1-10.
DOI: 10.15933/j.cnki.1004-3268.2025.04.001
The timely and accurate identification of cucumber diseases using intelligent identification technology is crucial for the proactive control and rational application of pesticides,which is of great significance for ensuring high‐quality cucumber production and ecological environmental safety.The intelligent identification of cucumber diseases is mainly realized by expert knowledge based on traditional expert systems and knowledge graphs,visible light image processing based on traditional machine learning and deep learning,spectral analysis such as chlorophyll fluorescence and hyperspectrum,and multi‐modal data fusion.The research progress of intelligent identification of cucumber diseases based on the above technologies was reviewed,the existing problems and deficiencies in current research were also summarized,and the development trends of cucumber diseases intelligent identification technology in the future was prospected,in order to provide reference for the application research of cucumber diseases intelligent identification.
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