A Comparative Analysis of Fruits and Vegetables Quality Using AI-Assisted Technologies: A review

Q4 Environmental Science Iranian Journal of Botany Pub Date : 2023-01-10 DOI:10.33897/fujeas.v3i2.688
S. Rehman
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引用次数: 1

Abstract

  Food quality is a major issue for society since it is a crucial guarantee not only for human health but also for society's progress and stability. The planting, harvesting, and storage through preparation and consumption, all aspects of food processing should be considered. One of the most important methods for managing fruit and vegetable quality is by using AI food quality evaluation techniques. Emerging technologies such as computer vision and artificial intelligence (AI) are thought to profit from the availability of massive data for active training and the generation of intelligent and operational equipment in real-time and predictably. The review helps provide an overview of leading-edge artificial intelligence and computer vision technologies that can help farmers in agriculture and food processing. In addition, the review presents some implications for the challenges and recommendations regarding the inclusion of technologies in real-time agriculture, policies, and substantial global investments. In addition, the fourth industrial revolution technologies of profound learning and computer vision robotics which are key to sustainability for food production is also addressed in it.
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基于人工智能辅助技术的果蔬品质比较分析综述
食品质量是一个重大的社会问题,因为它不仅是人类健康的重要保障,也是社会进步和稳定的重要保障。从种植、收获、储存到制备和消费,食品加工的各个方面都应加以考虑。人工智能食品质量评价技术是果蔬质量管理的重要手段之一。计算机视觉和人工智能(AI)等新兴技术被认为受益于大量数据的可用性,这些数据可用于主动训练,以及实时和可预测地生成智能和操作设备。该评论有助于概述可以帮助农民从事农业和食品加工的前沿人工智能和计算机视觉技术。此外,该综述还对将技术纳入实时农业、政策和大量全球投资方面的挑战和建议提出了一些启示。此外,第四次工业革命的深度学习技术和计算机视觉机器人技术是粮食生产可持续性的关键,也在其中得到了解决。
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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来源期刊
Iranian Journal of Botany
Iranian Journal of Botany Environmental Science-Ecology
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