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基于人工智能的修改大气包装用于果蔬保存:研究进展和前景

Hao Shi¹, Min Zhang^1,2, Arun S Mujumdar³

¹State Key Laboratory of Food Science and Resources, School of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu, China.

Critical reviews in food science and nutrition

|December 24, 2025

概括

人工智能 (AI) 为水果和蔬菜 (F&Vs) 的改造大气包装 (MAP) 提供先进的解决方案. 人工智能有助于设计,监测和预测MAP系统,克服传统方法的局限性.

科学领域:

食品科学食品科学食品科学
农业工程农业工程
计算机科学计算机科学

背景情况:

修改大气包装 (MAP) 对于保存水果和蔬菜 (F&Vs) 至关重要.
传统方法面临着各种F&V,包装材料和气体组成的挑战.
现有的数学工具对于准确的MAP设计,监测和预测是不够的.

研究的目的:

审查人工智能 (AI) 在F&Vs的MAP中的应用.
在F&V MAP中分析人工智能的文献和研究格局,使用文献识别分析.
探索MAP和AI在F&V保护中的分类和联合应用.

主要方法:

在F&V MAP文献中对AI进行文献分析.
对F&Vs的MAP中AI应用的审查,包括机制,设计,优化,监控和预测.
联合MAP和AI战略的分类和分析.

主要成果:

人工智能在探索机制,包装设计,参数优化,质量监测和F&V MAP的保质期预测方面显示出前景.
在将基于AI的MAP应用到F&Vs方面已经取得了初步进展.
图书统计分析提供了AI在这个领域的作用和研究趋势的概述.

结论:

基于AI的F&V的MAP需要进一步发展,以实现高精度,吞吐量,自动化和成本效益.
挑战包括数据稀缺性,模型复杂性,高学习成本和输出验证.
具体问题,如样本变异性,材料选择性和气体样本薄膜相互作用需要更多的研究.

关键词:

人工智能的人工智能是人工智能.文献计量分析的分析水果和蔬菜的保存果蔬菜的保存改变了大气层的包装包装预测保质期的预测

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