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Proceedings Paper

Design of an optical weed sensor using plant spectral characteristics
Author(s): Ning Wang; Naiqian Zhang; Dallas E. Peterson; Floyd E. Dowell
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Paper 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.

Paper Details

Date Published: 29 December 2000
PDF: 10 pages
Proc. SPIE 4203, Biological Quality and Precision Agriculture II, (29 December 2000); doi: 10.1117/12.411740
Show Author Affiliations
Ning Wang, Kansas State Univ. (United States)
Naiqian Zhang, Kansas State Univ. (United States)
Dallas E. Peterson, Kansas State Univ. (United States)
Floyd E. Dowell, U.S. Deptartment of Agriculture and Kansas State Univ. (United States)

Published in SPIE Proceedings Vol. 4203:
Biological Quality and Precision Agriculture II
James A. DeShazer; George E. Meyer, Editor(s)

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