Cardamom grading — A solution through machine learning techniques

Cardamom grading is a vital agricultural product processing industry in Kerala which always seek for better methods of mechanization. Grading of cardamom is completely based on its external features namely weight, color, pod size, pod surface finishing and blacks and dots. There are certain standards like AGMARK set for different grades of cardamom. Machine learning techniques like k-NN, Decision tree etc can be used as a platform to do the due purpose of grading. Ensemble of two or more such algorithms can further enhance the grading efficiency and precision.