Electronic Image Analysis of Crop Residue Cover on Soil
@article{Meyer1988ElectronicIA, title={Electronic Image Analysis of Crop Residue Cover on Soil}, author={G. E. Meyer and A. Stepanek and D. Shelton and E. C. Dickey}, journal={Transactions of the ASABE}, year={1988}, volume={31}, pages={968-0973} }
ABSTRACT CLASSIFICATION procedures for using both black-and-white and color imaging systems were developed and tested for determination of percent residue cover on the soil surface from video and slide images. A spectral analysis of the image components was used for determining applicable wavelengths and filters. Color imagery provided an acceptable replacement for manual visual procedures. Black-and-white imagery also worked when appropriate blocking filters were used.
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References
SHOWING 1-9 OF 9 REFERENCES
Tillage system, row spacing, and variety influences on soybean residue cover
- ASAE Paper No. 87-1006,
- 1987
Apple sorting and machine vision. TRANSACTIONS of the ASAE
- Light and color. General Electric Publication TP-119. General Electric Lighting Business Group. Cleveland,
- 1986
Soybean residue cover: Variety, row spacing, and knife fertilizer application interactions
- ASAE Paper No. 86-2032,
- 1986
Tillage int1uences on soybean residue reduction
- Unpulished M. S. thesis. University of Nebraska-Lincoln
- 1986