Multi-spectral vision system for weed detection

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%.

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Bibliographic Details
Published in:Pattern recognition letters 2001-05, Vol.22 (6), p.667-674
Main Authors: Feyaerts, F., van Gool, L.
Format: Article
Language:English
Subjects:
Classification
Computer vision
Edge detection
Image analysis
Image quality
Multi-spectral reflectance sensor
Online inspection
Online systems
Precision farming
Vegetation
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Description
Summary: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%.
ISSN:0167-8655
1872-7344
DOI:10.1016/S0167-8655(01)00006-X