Predicting kernel processing score of harvested and processed corn silage via image processing techniques

•Image processing effectively predicted Kernel Processing Score (KPS).•Algorithm and sieving results were well correlated r(23) = 0.8, p 

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Bibliographic Details
Published in:Computers and electronics in agriculture 2019-05, Vol.160, p.144-152
Main Authors: Drewry, Jessica L., Luck, Brian D., Willett, Rebecca M., Rocha, Eduardo M.C., Harmon, Joshua D.
Format: Article
Language:English
Subjects:
Algorithms
Cattle
Corn
Forage
Forage harvesters
Image processing
Kernel processing
Kernel processing score
Kernels
Kurtosis
Particle size distribution
Roll gap
Silage
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Description
Summary:•Image processing effectively predicted Kernel Processing Score (KPS).•Algorithm and sieving results were well correlated r(23) = 0.8, p 
ISSN:0168-1699
1872-7107
DOI:10.1016/j.compag.2019.03.020