Paper
29 December 2000 Design of an optical weed sensor using plant spectral characteristics
Ning Wang, Naiqian Zhang, Dallas E. Peterson, Floyd E. Dowell
Author Affiliations +
Proceedings Volume 4203, Biological Quality and Precision Agriculture II; (2000) https://doi.org/10.1117/12.411740
Event: Environmental and Industrial Sensing, 2000, Boston, MA, United States
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.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ning Wang, Naiqian Zhang, Dallas E. Peterson, and Floyd E. Dowell "Design of an optical weed sensor using plant spectral characteristics", Proc. SPIE 4203, Biological Quality and Precision Agriculture II, (29 December 2000); https://doi.org/10.1117/12.411740
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Cited by 3 scholarly publications.
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KEYWORDS
Sensors

Phototransistors

Optical design

Optical sensors

Reflectivity

Agriculture

Cameras

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