Analysis and testing of weed real-time identification based on neural network

被引：0
|
作者：
Shi, Yan [2 ]
Yuan, Haibo [1 ]
Liang, Anbo [3 ]
Zhang, Chunmei [1 ]
机构：
[1] Qingdao Agr Univ, Coll Engine & Elect Engn, 700 Changcheng Rd, Qingdao 266109, Peoples R China
[2] Qingdao Agr Univ, Coll Architecture & Engn, 700 Changcheng Rd, Qingdao 266109, Peoples R China
[3] Qingdao Agr Univ, Int Intercommun Sch, 700 Changcheng Rd, Qingdao 266109, Peoples R China
来源：
COMPUTER AND COMPUTING TECHNOLOGIES IN AGRICULTURE, VOL 2 | 2008年 / 259卷
关键词：
variable spray; weed identify; picture disposal; visual c plus;
D O I：
暂无
中图分类号：
S [农业科学];
学科分类号：
09 ;
摘要：
Contrasting the two green strength genes of soil, wheat, corn, and the weed, the paper designed a system to identify the weed from the crop. It used the 2G-R-B and BP neural network, with the help of pixel-position-histogram diagram, to calculate the area and position of weeds. The result showed that it could identify the weed from the field and crop with an accuracy of 93%. The program gave the result that running time of identifying weed in wheat field was 273.31 ms. As far as the corn was concerned, the time was 321.94ms, In a word, the system can satisfy the request of real-time.
引用
收藏
页码：1095 / +
页数：3
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