摘要
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,通过支持向量机、AdaBoost等机器学习算法,重点研究并实现了基于机器学习的农田无人机农作物病害图像自动寻的系统,并对该系统进行深层次探索和功能分析。
In view of the popularization and application of wireless transmission technology, this paper takes unmanned aerial vehicle as the carrier, takes rice sheath blight as an example, through the support vector machine, AdaBoost and other machine learning algorithms, focuses on the research and implementation of the system of agricultural unmanned aerial vehicle. Based on machine learning to automatically find the crop disease image, and makes a deep exploration and functional analysis of the system.
作者
沈美
于翔
Shen Mei;Yu Xiang(Information and Intelligent Engineering School,Nantong College of Science and Technology,Nantong 226007,China)
出处
《无线互联科技》
2019年第24期112-114,共3页
Wireless Internet Technology
