GRADING OF TOMATOES USING DIGITAL IMAGE PROCESSING ON THE BASIS OF SIZE

Abstract

This paper presents fruit quality grading system. Technological advancement is gradually finding its applications in the field of agriculture and food, in order to overcome great challenge of needs of the increasing population. Grading and sorting of fruits is one of the foremost necessary processes in fruits production, but this method is usually performed manually which is not efficient as it requires large number of laborers, and causes human errors. Image processing is employed for automated fruit grading based on features such as size and color of the fruit. This project will help in the development of a non destructive automated grading system with high accuracy, high speed and low cost. Development of this project will have applications in fruit quality detecting and grading in areas like food processing and trades where standardization is required. Keywords: