Intelligent rice grain analyzer
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Date
2017
Journal Title
Journal ISSN
Volume Title
Publisher
University of Management and Technology Lahore
Abstract
Agriculture is the biggest industry as Pakistan is declared an agricultural country. Rice as the part of basic food is consumed by population of world. Lot of researches had been done upon this staple food. Rice being a major crop is source of earning foreign exchange for Pakistan. The quality products are being appreciated and promoted around the world. In past most commonly quality evaluation had been done through Human inspection. The factors like recrimination, favoritism, human error were the key points for decision making [1]. It was a time consuming procedure and not an authentic source to be trusted as it contained a lot of drawbacks. To overcome those limitations, we shall be developing software by using image processing and computer vision. It shall be analyzing the quality of rice grain in terms of its morphological parameters like length, width, area, total number of objects; small, medium, large, broken and yellow rice grain .It classifies the nation of rice like basmati, tota, kernel or super kernel using automated technique. The major methodology that are removal of noise, detection of edge and segmentation of each rice grains. Firstly, scanned image of rice has to be taken for image acquisition and then that scanned image shall be proposed for noise removal. Then edges had to be detected through Canny Edge Detection technique. We shall be measuring morphological parameters like length, width, area, total number of objects, small, medium, large, broken and yellow rice grains through our algorithms. Classification of nation of rice shall be done by comparing our obtained values with manual values recorded and measure the accuracy percentage through weka software. Our software will be a low cost solution for quality assessment and classification of nation of rice not only in agriculture sector but also in export industry.
Description
Supervised by: Syed Farooq Ali and Dr. Malik Tahir Hassan
Keywords
Agricultural country, Rice being a major crop, BS Thesis