利用人工智能增强可持续的高质量食品生产:现状,挑战和未来方向
Kalliopi V Dalakleidi1, Violeta Pemaj2, John Kapolos2
1Department of Informatics, Athens University of Economics and Business, Athens, Greece.
Advances in food and nutrition research
|February 14, 2026
概括
人工智能 (AI) 正在通过分析从农场到餐桌的各种数据来改变食品科学. 基于人工智能的食品科学和营养系统 (AIFNS) 需要进一步的研究,以获得道德和安全的全球应用.
科学领域:
- 食品科学 食品科学 食品科学
- 人工智能的人工智能
- 数据科学数据科学数据科学
背景情况:
- 现代食品科学越来越多地使用人工智能 (AI) 分析异构的多式联运数据.
- 无处不在的传感器,摄像头和移动应用程序在农业,食品生产,加工,运输和营养监测方面产生了庞大的数据集.
- 这些数据集包括表格,图像,文本,omics,传感器,社交媒体和交易数据.
研究的目的:
- 突出人工智能和多式联络数据分析推动的食品科学领域的深刻变化.
- 概述基于人工智能的食品科学和营养系统 (AIFNS) 使用的管道和策略.
- 强调需要进一步研究全球这些系统的伦理,透明,包容和安全运行.
主要方法:
- 使用人工智能对异质多式联运数据的分析.
- 基于AI的食品科学和营养系统 (AIFNS) 的应用.
- 使用涉及数据预处理,细分,缩小维度,分类,聚类和数据融合策略的管道.
主要成果:
- 人工智能可以分析整个食品供应链中产生的大量多式联运数据.
- 基于人工智能的食品科学和营养系统 (AIFNS) 采用既定的数据分析技术.
- 当多个数据源可用于预测任务时,可以使用数据融合策略.
结论:
- 人工智能和多式联络数据分析代表着食品科学领域的重大转变.
- 基于人工智能的食品科学和营养系统 (AIFNS) 对于利用这些数据至关重要.
- 伦理,透明,包容和安全的跨境运营对于未来的AIFNS发展至关重要.
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