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Design of an optical weed sensor using plant spectral characteristics

Design of an optical weed sensor using plant spectral characteristics A spectral-based weed sensor was designed and tested in laboratory and in field. The effective sensing area of the sensor was determined by measuring sensor responses when weeds were placed at different grid points in front of the sensor. When multiple weeds shared the effective sensing area with soil, the weed classification rate was above 70%. The classification rate was below 50% for single weeds. Under field conditions, the weed classification rate reach 87%. Variations in sunlight did not affect the performance of the sensor significantly. The effect of shadows on the performance was significant. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Proceedings of SPIE SPIE

Design of an optical weed sensor using plant spectral characteristics

Wang, Ning; Dowell, Floyd E.
Proceedings of SPIE , Volume 4203 (1) – Dec 29, 2000
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Publisher
SPIE
Copyright
Copyright © 2003 COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.
ISSN
0277-786X
eISSN
1996-756X
DOI
10.1117/12.411740
Publisher site
See Article on Publisher Site

Abstract

A spectral-based weed sensor was designed and tested in laboratory and in field. The effective sensing area of the sensor was determined by measuring sensor responses when weeds were placed at different grid points in front of the sensor. When multiple weeds shared the effective sensing area with soil, the weed classification rate was above 70%. The classification rate was below 50% for single weeds. Under field conditions, the weed classification rate reach 87%. Variations in sunlight did not affect the performance of the sensor significantly. The effect of shadows on the performance was significant.

Journal

Proceedings of SPIE – SPIE

Published: Dec 29, 2000

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