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AI Based Robotic Systems for the quality control of Date Palm Fruits - A Review

机译:基于AI的机器人系统,用于枣棕榈水果的质量控制 - 评论

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The date palm fruit has gained significant importance in the global markets in recent years and during the last two decades the global production of dates has become more than doubled. These trends, however, have also made the task of post-harvesting process such as inspection, quality checking, and sorting of the date palm fruits are extremely challenging, as majority of the production units still employ humans to carry out these labor-intensive activities by visual inspection. In recent years, several processing techniques have been proposed by the researchers to address this issue. In this paper, we review these techniques and discuss the need for employing an autonomous robotic system based on the deep learning principle of artificial intelligence together with computer vision techniques. This paper is intended to help the researchers and application developers in gaining insights into the existing post-processing systems and designing even more efficient system of tomorrow.
机译:近年来,在全球市场中,棕榈果实在全球市场上获得了重大意义,在过去二十年中,日期的全球生产已达到一倍多。 然而,这些趋势还取得了收获后的过程的任务,如检验,质量检查和日期棕榈水果的分类非常具有挑战性,因为大多数生产单位仍然采用人类进行这些劳动密集型活动 通过目视检查。 近年来,研究人员提出了几种处理技术来解决这个问题。 在本文中,我们审查了这些技术,并讨论了基于人工智能的深层学习原理与计算机视觉技术一起使用自治机器人系统的需求。 本文旨在帮助研究人员和应用开发人员在现有的后处理系统中获得见解,并设计明天更有效的系统。

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