A test system of infield weed detection based on machine vision was designed and developed.
9．设计并开发了基于机器视觉的田间杂草识别试验系统。
参考来源 - 基于机器视觉的田间杂草识别技术研究Main contents are as follows:(1) Introduced the development of weed detection at home and abroad; proposed the research necessity, feasibility and methods.
主要研究内容如下:(1)介绍了杂草识别在国内外的发展概况,提出了研究的必要性、可行性及方法步骤。
参考来源 - 基于机器视觉的田间杂草识别方法研究·2,447,543篇论文数据，部分数据来源于NoteExpress
A test system of infield weed detection based on machine vision was designed and developed.
设计并开发了基于机器视觉的田间杂草识别试验系统。
The software system consisted of file management, system initialization, image preprocessing, background segmentation and weed detection.
系统软件包括文件管理、系统设定、图像预处理、背景分割、杂草识别等内容。
Take the weeds in wheat fields as the research object, a method of weed detection by using the texture and position features was studied.
以化学防除适期麦田杂草为研究对象，对利用条播作物的位置和纹理特征识别田间杂草的方法进行了研究。
应用推荐