Possible approaches to arecanut sorting / grading using computer vision: A brief review

Computer science is involved to the greater extent in agricultural and food science these days. Many Artificial Intelligence and soft computing techniques and technologies are used for classification and defect detection of various products and thus helps in Better quality product for the end users. In this paper we focus on the standing of Arecanut in global and Indian market and usage of computer vision and image processing in an Arecanut classification and grading system. It is essential to take into consideration cultural and economic importance of Arecanut to determine the importance of computer vision technology for Arecanut. There are so many challenges to face in order to develop a system for automatic classification of Arecanut using images. Depending on the category and the region they are grown; several varieties of Arecanut are subject to significant difference in color, texture and shape. Various methods are used to process Arecanut mainly focusing on the external appearance of the product. Solution for classifying/grading Arecanut can be developed using its color, size and texture. We have also quoted the important work accomplished in respect of Arecanut from the Computer vision perspective and on some other fruits as well. The main motto of this article is to provide in-depth introduction to Arecanut, Computer Vision, need and applications of vision based technology in classification and grading of Arecanut.