Quality Inspection and Grading Of Mangoes by Computer Vision & Image Analysis

摘要

The paper presents the recent development and application of image analysis and computer vision system in quality evaluatio n of products in the field of agricultural and food. It is very much essential to through light on basic concepts and technologies associated with computer vision system, a tool used in i mage analysis and automated sorting and grading is highlighted. In agricultural industry the efficiency and the proper grading process is very important to increase the productivity. Currently, the agriculture industry has a better improvement, particularly in terms of grading of fruits, but the process is needed to be upgraded. This is because the grading of the fruit is vital to improve the quality o f fruits. Indirectly, high quality fruits can be exported to other countries and generates a good income. Mango is the third most important fruit product next to pineapple and banana in term of value and volume of production. There are demand s for this fresh fruit from both local and foreign market. Ho wever, mangoes grading by humans in agricultural setting are inefficient, labor intensive and prone to errors. Automated grading system not only speeds up the time of the process but also minimize error. Therefore, there is a need for an efficient mango grading method to be developed. In this study, we proposed and implement methodologies and algorithms that utilize digital image processing, content predicated analysis, and statistical analysis to determine the grade of local mango production.Computer vision provides one alternative for an automated, non -destructive and cost-effective technique to accomplish these requirements. This inspection approach based on image analysis and processing has found a variety of different applications in the food industry