Computer vision approach to characterize size and shape phenotypes of horticultural crops using high-throughput imagery
S. Haque, E. Lobaton, N. Nelson, G. C. Yencho, K. V. Pecota, R. Mierop, M. W. Kudenov, M. Boyette, C. M. Williams
This paper introduces a computer vision algorithm to quantify shape and size of sweetpotato using high-throughput imagery, achieving 84.59% accuracy in classifying quality grades.
bioRxiv · Jul 24, 2020Bioengineering