Abstract
Cardamom grading is an imperative agricultural invention handing out conscientiousness which continuously seeks for improve methods of mechanization. Categorization the cardamom includes the process of segregating cardamom based on its skin texture such as the husk size, husk identity and peapod colour. Grading includes the procedure of assigning grades and in this way categorizing cardamom to diverse delivery qualities as the cardamom superiority increases with price, therefore it is required to grade the cardamom. Optimization techniques like K means nearest Neighbour algorithm, decision tree are combined with machine vision to find the cardamom colour and can be used for the purpose of grading. The cardamom is compared with the finest elected cardamom for the cataloguing manages and the cardamom is graded based on the colour of the cardamom. The project deals with the design and fabrication of cardamom sorting machine with the help of machine vision and machine learning process.
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