A Survey Paper On Cashew Kernels Classification Using Color Features &

Cashew is a commercial commodity that plays a major role in earning foreign revenue among export commodities in India. The purpose of this research work is to explore image processing techniques and approaches on cashew variety identification based on their kernels. end users. Our primary objective is to develop a cost Colour features in the RGB (red-green network is trained to classify sample cashew kernels. An intelligent classification system based on computer vision system can be developed for automated grading an will solve the major problems of many of the cashew export industries also, gives justice to the cashew growing farmers in accurate grading. The classification system is evaluated on cashew k result of our study shows that, the system gives about 80% classification rate. Computer vision has been successfully adopted for the quality analysis of meat and fish, pizza, cheese, and bread. Likewise grain quality and have been examined by this technique. This paper presents the significant elements of a computer vision system and emphasizes the important aspects of the image processing technique coupled with a review of the most recent developments throughout the food industry