Seed Classification using Multi Feature Extraction

Abstract

Now a day’s research works on agriculture field have been widely incorporated and showing promising growth. The man free system for food processing unit like classification based on variety, quality and other aspect plays a crucial role in the agricultural research. This paper discuss about the seed classification based on multiple feature extraction and minimum distance classifier. Feature extraction is associated with spatial, color, shape, texture and statistical features of the seed. In this work rice, corn and wheat are used as test samples to demonstrate the effectiveness of the Connected Component Analysis and classification process.