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DEVELOPMENT OF DISCRIMINANT MODELS FOR AUTOMATIC IDENTIFICATION AND CLASSIFICATION OF SORGHUM VARIETIES USING ITS OPTICAL PROPERTIES

, and . Agricultural Science: An International journal (AGRIJ), 1 (1): 60 (September 2022)

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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