Multi-spectral vision system for weed detection

被引：60
|
作者：
Feyaerts, F [1 ]
van Gool, L [1 ]
机构：
[1] Katholieke Univ Leuven, Dept Elect Engn, ESAT, PSI VISICS, B-3001 Heverlee, Leuven, Belgium
来源：
PATTERN RECOGNITION LETTERS | 2001年 / 22卷 / 6-7期
关键词：
online inspection; precision farming; multi-spectral reflectance sensor; classification;
D O I：
10.1016/S0167-8655(01)00006-X
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The proposed online system distinguishes crop from weeds based on multi-spectal reflectance gathered with an imaging spectrograph. Under field conditions, up to 86% of the vegetation samples (80% of crop. 91% of weed) were recognized herbicide reductions of up to 90%. (C) 2001 Elsevier Science B.V. All rights reserved.
引用
收藏
页码：667 / 674
页数：8
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