基于人工智能技术的果蔬保鲜:研究进展与应用前景

IF 7.7 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY
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引用次数: 0

摘要

新鲜水果和蔬菜具有含水量高、易腐烂、季节性强等特点。在供应链过程中,很容易导致新鲜度下降。人工智能(AI)技术被认为是帮助果蔬保鲜的有效新手段。它可用于果蔬供应链的采后、贮藏和冷链运输阶段。本文回顾了几种先进的人工智能技术,并系统介绍了这些技术在果蔬保鲜中的应用。人工智能可以实现果蔬的质量评估、冷链环境监测和货架期预测,优化供应链管理,提高产品的可追溯性。基于人工智能的新型果蔬保鲜策略极大地保持了果蔬的产品质量。此外,本文还探讨了人工智能技术在果蔬保鲜领域的当前局限性和未来发展趋势。本文旨在为人工智能技术在果蔬保鲜中的应用提供指导,并为未来果蔬保鲜流程的高效化和智能化提供新思路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fruits and vegetables preservation based on AI technology: Research progress and application prospects

Fresh fruits and vegetables are characterized by high water content, perishability and strong seasonality. In the process of supply chain, it is easy to lead to the decrease of freshness. Artificial intelligence (AI) technology is considered as an effective new means to assist the preservation of fruits and vegetables. It is used in the post-harvest, storage and cold chain transport stages of the fruits and vegetables supply chain. This paper reviews several advanced AI technologies and systematically introduces the application of these technologies in fruits and vegetables preservation. AI can achieve quality assessment, cold chain environment monitoring, and shelf-life prediction for fruits and vegetables, optimize supply chain management, and improve product traceability. The new fruits and vegetables preservation strategy based on AI has greatly maintained the product quality of fruits and vegetables. In addition, the current limitations and future development trends of AI technology in fruit and vegetable preservation are also discussed. This paper aims to provide guidelines for applying AI technology in fruit and vegetable preservation and provide new ideas for the future fruit and vegetable preservation process to make it more efficient and intelligent.

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来源期刊
Computers and Electronics in Agriculture
Computers and Electronics in Agriculture 工程技术-计算机:跨学科应用
CiteScore
15.30
自引率
14.50%
发文量
800
审稿时长
62 days
期刊介绍: Computers and Electronics in Agriculture provides international coverage of advancements in computer hardware, software, electronic instrumentation, and control systems applied to agricultural challenges. Encompassing agronomy, horticulture, forestry, aquaculture, and animal farming, the journal publishes original papers, reviews, and applications notes. It explores the use of computers and electronics in plant or animal agricultural production, covering topics like agricultural soils, water, pests, controlled environments, and waste. The scope extends to on-farm post-harvest operations and relevant technologies, including artificial intelligence, sensors, machine vision, robotics, networking, and simulation modeling. Its companion journal, Smart Agricultural Technology, continues the focus on smart applications in production agriculture.
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