Arecanut Segregation System Using Local Binary Pattern and HOG Features

Abstract

Agriculture is, doubtlessly, one of the most relevant fields that drive Indian economy. India produces diverse types of spices and seeds depending upon the different soil and climate conditions. India is also one among the cultivator of arecanut and much of its production happens in the coastal region. It is a tropical crop. There is a variation in the quality of arecanut that makes it classified into various types. The arecanut classification and segregation is necessary, basically segregation is done manually which consumes much time, more effort and more error prone. This paper proposes an automatized approach of classification and segregation using hardware and digital image processing