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.
Proceedings of SPIE – SPIE
Published: Dec 29, 2000
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