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
Abstract：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.
Keywords：Cucumber diseasesComputer visionMulti-modal data fusionExpert knowledgeIntelligent identificationLarge model
Publication Date：2025-04-15
Online Publishing Date：2026-09-12(First online date of this platform, not the publication date of the document)
Pages：10( 1-10 )