Abstract
Industrial automation is not possible without artificial intelligence and machine learning. The goal of this
study was to develop, verify, validate and train discriminant models for identification and classification of
sorghum varieties using its optical properties. Three varieties of sorghum considered are NGB 01907 (Red
Sorghum), NGB 01589 (White Sorghum) and NGB 01227 (Yellow Sorghum).Optical properties studied are
colour (L a b), absorbance, reflectance and transmittance. Colour was measured using Chroma Meter, absorbance and transmittance were determined using spectrophotometer
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