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

Bittu Scaria, Nazarudeen A. Aziz, Mohammad Siddiqi
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引用次数: 3

Abstract

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.
基于人工智能的枣椰果质量控制机器人系统综述
近年来,椰枣果实在全球市场上占有重要地位,在过去二十年中,全球椰枣产量增加了一倍多。然而,这些趋势也使得枣椰树果实的检验、质量检查和分类等采收后过程的任务极具挑战性,因为大多数生产单位仍然雇用人工通过目视检查来进行这些劳动密集型活动。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,我们回顾了这些技术,并讨论了采用基于人工智能深度学习原理和计算机视觉技术的自主机器人系统的必要性。本文旨在帮助研究人员和应用程序开发人员深入了解现有的后处理系统,并设计出更高效的未来系统。
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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