Abstract

The use of good quality seed is important for the satisfactory production of a good quality crop and is essential for export in markets. Quality control is very important in food industry because based on quality of food products are classified and graded into different grades. Quality of grain is evaluated manually but it is very much, time consuming, may be varying results and costly. Digital image processing can be used for quality evaluation and grading of agricultural food in industry. One of the major step in quality analysis of grains is grading of grains, which is normally done either manually or using expensive electronics equipments. We propose a simple method based on image processing and using Artificial Neural Network for grading of rice granules Here grading will be performed by calculating rice seed major axis length ,miner axis length, area ,eccentricity and perimeter. Result will be displayed on LCD and also there is an audio message . The paper presents a solution of grading and analysis of rice grains on the basis of grain size and shape using image processing techniques and Artificial neural network. This method requires minimum time and it is low in cost. Miss Shivpriya Desai | Dr.A.P.Rao"Seed Quality Analysis Using Image Processing and ANN" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-4 , June 2017, URL: http://www.ijtsrd.com/papers/ijtsrd137.pdf http://www.ijtsrd.com/engineering/computer-engineering/137/seed-quality-analysis-using-image-processing-and-ann/miss-shivpriya-desai

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