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Development of a program for grading of spherical fruits using image processing technique
(Punjab Agricultural University, Ludhiana, 2016) Simrandeep Kaur; Salam Din
Agriculture is one of the largest economic sectors and it plays the major role in economic development of India. Fruits and vegetables are important for the healthy life. Fruits are the perfect sources for providing our body with all the necessary nutrients and vitamins. There are different varieties of fruits but Apple is one of the economically and culturally most important fruit crops and contributes significantly to human daily consumption. Still for grading the traditional inspection of fruits is performed by human experts, which is considered to be time consuming, tedious, labor intensive and expensive. So there is a need for automated system for accurate, fast and quality fruits grading. In this, method used for grading of apple fruit using the RGB image and apple are graded based on their outer surface. In order to grading a spherical fruit, we extract various external feature of a fruit like color, shape, size and Texture. The system uses RGB images of the fruit. From these image, it automatically extract the external features of the fruit Based on the extracted features it classifies fruit into two categories. The classification of apple fruit using the extracted features is done with the help of support vector machines (SVMs), classification is done and found accuracy of 100%.