J. Posom

Deep learning–based multispectral seed classification for detecting adulteration in KDML-105 rice

This study aimed to develop and evaluate Deep Learning models for detecting varietal contamination in KDML-105 jasmine rice seeds using multispectral imaging and seed morphological features. Four rice varieties—KDML-105 and three Non–KDML-105 varieties (Chainat-1, RD-15, and RD-6)—were used, with 1,000 seeds collected...