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1)  weed identification
杂草识别
1.
Analysis and testing of weed identification based on neural network;
基于神经网络的杂草识别试验研究
2.
Research advances of weed identification technology using machine vision;
基于机器视觉的田间杂草识别技术研究进展
3.
On the field of agriculture and plant protection, weed identification technology in machine vision research at home and abroad has made part of the results.
在农业植保领域中,杂草识别在机器视觉技术的研究国内外已经取得了部分成果,绝大多数研究都集中在杂草植株的个体上。
2)  Weed recognition
杂草识别
1.
Optimization of color index and threshold segmentation in weed recognition;
杂草识别中颜色特征和阈值分割算法的优化
2.
The technology of weed recognition based on machine vision becomes a hot issue of precision agriculture.
针对杂草与小麦叶子交叠的情况,提出一种综合颜色和形态特征的方法进行杂草识别
3.
Dynamic weed recognition and spraying system has very close relation with recognition algorithm,installation and angel of camera,and distance of nozzel.
动态杂草识别与喷洒系统不但与识别算法有关,还与摄像头的安装高度、安装角度以及喷头的距离有很大的关系。
3)  weed detection
杂草识别
1.
Study on Infield Weed Detection Using Machine Vision;
基于机器视觉的田间杂草识别技术研究
4)  weed indentification
杂草鉴别
5)  sketch recognition
草图识别
1.
A Sketch Recognition System Based on SVM;
一个基于支持向量机的草图识别系统
2.
Agent Based Sketch Recognition Platform;
基于Agent的草图识别平台
3.
A method of two-dimensional sketch recognition based on incremental mode was proposed according to the characteristics of gesture interaction in pen-based three-dimensional modeling technology.
整个识别过程依据了三维特征建模思想和基于上下文感知的智能推理技术,通过分层识别的方法从紊乱、非精确的二维草图中有效提取三维建模的特征信息,有效降低了草图识别过程的复杂度和积累误差。
6)  Strawberry recognition
草莓识别
1.
Strawberry recognition is a very important part in strawberry harvesting robot.
基于图像区域特征来识别被遮掩、重叠或紧靠的草莓果实非常困难,提出一种基于Hough变换的成熟草莓识别方法。
补充资料:1,3-二氧杂草
CAS: 505-65-7
分子式: C5H10O2
分子质量: 102.13
沸点:119℃
中文名称:1,3-二氧杂环庚烷;1,3-二氧杂草

英文名称: 1,3-Dioxepane;tetramethylene formal;[1,3]Dioxepan
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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