Nuclear seed recognition and weed segregation system (NSRWSS)

The “Nuclear Seed Recognition and Weed Segregation System (NSRWSS)” aims at simplifying the task of identification and classification of seed varieties using Image Processing techniques. Seed recognition and weed segregation consumes a lot of manual labor in seed production industries. NSRWSS can accomplish weed and damaged seed separation for various crops. Genetic purity, which is given top most priority in crop production areas, is the basic element behind the development of this system. Besides these, NSRWSS provides typical information related to crop varieties, which makes it an expert system. In this work, we use different techniques and algorithms for seed classification and recognition. The performance of each technique is evaluated and the optimum performing algorithm is determined. Real time image processing and classification with and without PCA is employed for the recognition and segregation system.