• Vedashree Praveen Nilare.
• Gayatri Prakash Jadhav.
• Samiksha Vijay Patil.
• Dr. Sarika A. Panwar.

Cashew is one of the agricultural commodities which has high demand and commercial value. Currently there is a manual process being used to check the quality of raw cashew nuts. As the raw material is available majorly in the farm and warehouse one quality expert needs to physically travel everywhere to check the quality. Due to this manual process, certain major drawbacks have been evaluated in determining the quality of raw cashews. Research is being carried out to make the entire process automatic by considering different parameters of cashews such as their color, shape, size, moisture content, and many more. Out of various parameters, color and size are the major parameters. This paper addresses the research to design and build a prototype known as a portable raw cashew nut quality detector which will detect the cashew quality using image processing technique thereby overcoming the need for special expertise to visit and check the quality of cashew nuts.

Manual Process, Image Processing, Size, Color, Quality, Portable.

"Raw Cashew Nut Quality Detection Using Image Processing.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 6, page no.a178-a181, June-2021, Available :http://www.jetir.org/papers/JETIR2106026.pdf

"Raw Cashew Nut Quality Detection Using Image Processing.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 6, page no. ppa178-a181, June-2021, Available at : http://www.jetir.org/papers/JETIR2106026.pdf