基于机器视觉的水稻纹枯病检测与分类的研究与实现

Research and implementation of rice sheath blight detection and classification based on machine vision

鉴于无线传输技术的推广和应用,文章以无人机为载体,以水稻纹枯病为例,通过机器视觉、机器学习等技术,重点研究、实现了基于机器视觉的农田农作物病害信息的诊断、监测、分级,并对该系统进行深层次探索和功能分析。

In view of the promotion and application of wireless transmission technology, this paper takes unmanned aerial vehicle as the carrier, takes rice sheath blight as an example, through machine vision, machine learning and other technologies, focuses on the research and implementation of the diagnosis, monitoring and classification of crop disease information based on machine vision, and makes a deep exploration and functional analysis of the system.