Industry 4.0 Convergence with AI, IoT, Big Data and Cloud Computing: Fundamentals, Challenges and Applications

Implementation of Fruit Quality Management and Grading System using Image Processing and ARM7 Platform

Author(s): Yuvraj V. Parkale * .

Pp: 121-131 (11)

DOI: 10.2174/9789815179187123040011

* (Excluding Mailing and Handling)

Abstract

Throughout the history of the industry, producers and retailers have focused on fruit quality as a major concern. Over the past ten years, the market for high-quality fruit has expanded quickly, raising the price of the upscale item. However, the state-of-the-art methods have some major drawbacks such as the mechanical systems are bulky, require more manpower to operate the system, are less accurate, slow, expensive and with more chances of human mistakes. In this paper, we have addressed these drawbacks and proposed systems for the management of the fruit quality and grading of fruits in different categories. These fruits can be sorted automatically depending upon their different characteristics such as color, size, shape, weight, specific gravity, sugar contents, and ph. In this paper, we have selected three characteristics of fruit namely color, size, and weight for measuring the quality of fruit and grading them accordingly. The result shows that the proposed system has successfully implemented fruit quality management and grading. The system is automatic and results in lightweight, simple and inexpensive hardware, increased speed of operation and reduces manpower, and mistakes. 


Keywords: ARM7, Fruit quality, Image processing

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