[1]邹玮,岳延滨,赵泽英,等.辣椒病害智能化识别与防治研究进展[J].黑龙江农业科学,2025,(10):96-104.[doi:10.11942/j.issn1002-2767.2025.10.0096]
ZOU Wei,YUE Yanbin,ZHAO Zeying,et al.rural revitalization; Shizong Orah industry; high-quality development; path[J].HEILONGJIANG AGRICULTURAL SCIENCES,2025,(10):96-104.[doi:10.11942/j.issn1002-2767.2025.10.0096]
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ZOU Wei,YUE Yanbin,ZHAO Zeying,et al.rural revitalization; Shizong Orah industry; high-quality development; path[J].HEILONGJIANG AGRICULTURAL SCIENCES,2025,(10):96-104.[doi:10.11942/j.issn1002-2767.2025.10.0096]
辣椒病害智能化识别与防治研究进展
《黑龙江农业科学》[ISSN:1002-2767/CN:23-1204/S]
卷:
期数:
2025年10
页码:
96-104
栏目:
出版日期:
2025-10-10
- Title:
- rural revitalization; Shizong Orah industry; high-quality development; path
- 文章编号:
- 14
- Keywords:
- pepper disease; identification and detection; precise prevention and control; biochemical analysis; visible light imaging; spectral analysis〖WT〗〖HK〗〖HT〗〖HQ〗〖HJ〗
- 文献标志码:
- A
- 摘要:
- 辣椒病害的发生严重影响了辣椒品质和产业链的经济效益。人工智能、计算机技术的发展，为辣椒病害智能化识别和防治提供了技术前提。为促进辣椒病害的实时智能检测和科学防治，基于前人研究成果介绍了辣椒主要病害的分类、流行规律和症状表现，根据辣椒受病害感染后表型变化和生理生化特征，比较分析了传统人工和智能化方法对辣椒病害进行识别和防治的优缺点。着重介绍了基于生化分析、可见光图像、光谱分析方法识别辣椒病害，以及智能化识别诊断、精准施药技术等在辣椒病害防治方面的研究。展望了可穿戴式传感器、气象数据对辣椒病害的识别预测。并对智能化识别和防治方法在辣椒病害研究中存在的问题和研究方向进行了讨论和展望。
- Abstract:
- The occurrence of pepper diseases has severely impacted the quality of peppers and the economic benefits of the industrial chain. With the development of artificial intelligence and computer technology, which provide a technical premise for intelligent identification and control of pepper diseases.In order to promote real-time intelligent detection and scientific prevention and control of chili diseases, based on previous research, this paper introduced the classification, epidemic law and symptom of main diseases of pepper, according to the phenotypic changes and physiological and biochemical characteristics after pepper disease infection. The advantages and disadvantages of traditional artificial and intelligent methods for disease identification and control were compared. Focusing on research advancements in pepper disease identification using biochemical analysis, visible light imaging, and spectral analysis methods, as well as intelligent diagnostic systems and precision pesticide application technologies. The identification and prediction of pepper diseases by wearable sensors and meteorological data are prospected. The existing challenges and future directions in intelligent disease detection and control were also discussed.
备注/Memo
收稿日期：2025-07-29基金项目：贵州省农科院青年基金项目（黔农科一般基金〔2024〕25号）；贵州省科技计划项目（黔科合支撑〔2021〕一般173）。第一作者：邹玮(1997-)，女，硕士，研究实习员，从事图像处理、植物表型等相关研究。E-mail：171465192@qq.com。通信作者：岳延滨（1984-），男，硕士，副研究员，从事作物生长模拟和表型分析研究。E-mail：58644230@qq.com。
更新日期/Last Update:
2025-10-10