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

页码：1095 / +

页数：3

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