A Survey of Computer Vision and Soft Computing Techniques for Ripeness Grading of Fruits

Now a 'days agriculture is one field where automated systems for classification and grading of fruits can be very useful not only for farmers but at experts in taking fast and accurate decisions. Over some recent year’s customers and buyers lifestyles and needs have increased and there have been many changes. Such lifestyle and changes have proved to be a challenge for the farmers and experts in the field of agriculture. Because of this with the help of technology a well-defined automated system need to be present in the market which would grade and analyze the agricultural products with minimum error. Thus giving the farmers best product to sell and make the customers feel happy for the money they have spent. This survey paper presents the literature review of various related systems and earlier studies done in the field grading of fruits on the basis of their ripeness. Then the comparative study of different computational techniques for ripeness grading has been done. KeywordsComputer Vision, Fuzzy logic, Artificial Neural Network (ANN), Ripeness.