河南农业科学2025，Vol.54Issue(4)：1-10,10.DOI:10.15933/j.cnki.1004-3268.2025.04.001
黄瓜病害智能识别技术研究进展
Research Progress on Intelligent Identification Technology of Cucumber Diseases
摘要
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.关键词
黄瓜病害/计算机视觉/多模态数据融合/专家知识/智能识别/大模型Key words
Cucumber diseases/Computer vision/Multi-modal data fusion/Expert knowledge/Intelligent identification/Large model分类
农业科技引用本文复制引用
杨振东,马中杰,冯晓,杨凡,骆巍,罗晨,姜鸿勋,张英,宋淑敏,史一鸣,于艳玲,杨田亮..黄瓜病害智能识别技术研究进展[J].河南农业科学,2025,54(4):1-10,10.基金项目
国家特色蔬菜产业技术体系项目(CARS-24-G-13) （CARS-24-G-13）
河南省科技攻关计划项目(252102110369) （252102110369）
河南省农业科学院创新团队专项(2024TD43) （2024TD43）
河南省农业科学院自主创新项目(2024ZC035) （2024ZC035）
