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.

Key words: Cucumber diseases, Computer vision, Multi‐modal data fusion, Expert knowledge, Intelligent identification, Large model

摘要： 利用智能识别技术及时、准确识别黄瓜病害，进而积极防治、合理施药对于保障黄瓜高质量生产及生态环境安全具有重要意义。黄瓜病害智能识别主要采用基于传统专家系统和知识图谱的专家知识，以及基于传统机器学习和深度学习的可见光图像处理、叶绿素荧光和高光谱等光谱分析、多模态数据融合技术。综述了基于上述技术的黄瓜病害智能识别研究进展，以及当前研究中存在的问题与不足，并展望了黄瓜病害智能识别技术的发展趋势，旨在为黄瓜病害智能识别的应用研究提供参考。

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