Development of Fruit Grading System Based on Image Recognition

Huai-Kuei Wu, Jui-Sheng Wang, Yuan-hsin Chen
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Abstract

Due to advances in information and communication technology, smart agriculture has begun to develop. Taiwan’s aging population has led to a decline in the agricultural population. Therefore, the development of smart agriculture is important. This paper considers the needs of Taiwan’s small and medium-sized farming models and develops an automatic fruit grading system based on image recognition. The system includes three units of the transmission mechanism, identification host, and database. The transmission mechanism transports fruits to the bottom of the camera for grading; the identification host uses STM32F746 as the core and integrates the OV9655 and other peripherals to locate the fruits on the transport mechanism for classification. Through the above integration, the automation of fruit grading can be improved, and the impact of the aging agricultural population can be reduced.
基于图像识别的水果分级系统的开发
由于信息和通信技术的进步,智慧农业已经开始发展。台湾人口老龄化导致农业人口减少。因此,发展智慧农业十分重要。本文结合台湾中小农业模式的需求,开发了一种基于图像识别的水果自动分级系统。该系统包括传输机制、识别主机和数据库三个单元。传动机构将水果输送到相机底部进行分级;识别主机以STM32F746为核心,集成OV9655等外设,对输送机构上的水果进行定位分类。通过以上整合,可以提高水果分级的自动化程度,减少农业人口老龄化的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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