Abstract

Automated quality assessment of crops is the problem of assessing the quality of the crops so that required necessary actions can take place timely to minimize the loss to crops and also create a transparency while selling the crops to the end user. In the existing, there is no machine learning or automated system to access the quality of crops. Right now, the crop quality is accessed manually. In this study, an OpenCV based automated quality assessment method will be exploited for assessing the quality of the crops in the Indian context. For Computer Vision and Machine Learning process, PyCharm tool is used for analysing the input images and extract the feature values according to the grade of the crops. The values are stored in a path which would be accessed by Java to showcase the pricing, connecting nearby farmers with the end user’s using data mining algorithms.

Key words: PyCharm