基于"图像+光谱"技术的马铃薯早疫病智能诊断方法研究
Research on Intelligent Diagnosis Method of Potato Early Blight Based on"Image+Spectral"Technology
李轶骥1
作者信息
- 1. 四川省农业科学院科技保障中心,四川 成都 610066
- 折叠
摘要
为实现马铃薯早疫病的智能化诊断,提出基于"图像+光谱"技术的马铃薯早疫病智能诊断方法,该系统可针对马铃薯早疫病的症状进行智能分析.首先搜集马铃薯病斑的相关信息;然后对信息进行针对性处理,包括颜色调整和对图像裁剪,以提取病斑的关键特征;最后系统再利用病斑特征识别并自动诊断马铃薯早疫病.经过试验验证,此方法能有效地诊断马铃薯早疫病,切实为智慧农业中植物病害的智能监控和预警提供创新方法.
Abstract
In order to achieve intelligent diagnosis of potato early blight,this article proposes a potato early blight diagnosis method based on"image+spectrum"technology.This system intelligently analyzes the symptoms of potato early blight.Firstly,collect rele-vant information on potato lesions,and then process the information accordingly,including adjusting colors and cropping images to extract key features of the lesions.Finally,the system utilizes lesion features to identify and automatically diagnose potato early blight.After experimental verification,this method can effectively diagnose potato early blight and provide innovative methods for intelligent monitoring and early warning of plant diseases in smart agriculture.
关键词
"图像+光谱"技术/马铃薯/早疫病Key words
"image+spectral"technology/potatoes/early epidemic disease引用本文复制引用
出版年
2024
NETL
NSTL
万方数据