Survey of Grading Process for Agricultural Foods by Using Artificial Intelligence Technique

Abstract

In industrial world the current demand of the consumer is better quality of the products. The grading system is used to detect the quality of the products. This system have been processed manually where it is not efficient and time consuming. To overcome these problems and to reduce the labour requirements, the machine vision technique is developed for grading system. The hardware and software is needed for the machine vision system. The hardware process like camera and the computer is needed to capture the images of the products. Then the features of the respective images must be collected through computer and analysed each and every features based on the image processing techniques. Therefore the quality of the product can be determined easily and it reduces the time. To get an accurate value of the quality the Artificial Intelligence techniques are developed to improve the grading system. Mostly the industrial products of food industry like agricultural products are well developed by using this Artificial Intelligence techniques of the grading system. Thus the most relevant paper are collected and its drawbacks are listed on the below papers. The future work of the proposed system is the Artificial Intelligent technique are used as a classifier for the grading system to detect the accurate quality of the products. Where this proposed system is mostly applicable to detect the quality of the fruits but this system can be implemented to other industrial products in terms of safety of the human beings and also it is applicable to multiple products resulted in improving the perfect grading system.