首页> 中文期刊> 《农机化研究》 >农作物病害检测中光谱和图像处理技术现状及展望

农作物病害检测中光谱和图像处理技术现状及展望

         

摘要

Precise pesticide spraying operations is one of the important issues to be addressed in precision agriculture , and identifying and locating spray objects are one of the core technologies of precise pesticide spraying operations .Cur-rently machine vision and spectroscopy detection are considered with the most important automatic detection methods .For this reason , according to the research situations at home and abroad in disease detection and recognition areas , compre-hensive and systematic elaborating the research status based on machine vision and optical measurement techniques in the disease identification , analyzing the existence advantages and disadvantages on disease recognition .At the same time , pointing out that Research on Crop Disease Detection ,making the detection system possesses good segmentation accura-cy , robustness and real-time , in order to achieve automatic pests ’ detection under the unstructured environments .%精准农药喷洒作业是精细农业中要解决的重要问题之一,喷雾对象的识别和定位是精准农药喷洒作业的核心技术之一。机器视觉与光谱检测是目前最主要的两种自动检测方法。为此,针对国内外在病害检测识别领域研究现状,全面、系统地阐述基于图像处理技术的机器视觉检测法与光谱检测法在病害识别中的研究现状,分析其在病害识别上存在的优缺点。同时,指出今后病害检测的研究方向,使检测系统更具有良好的分割准确性、鲁棒性和实时性,以期实现非结构环境下的病虫害自动检测。

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