使用人工智能来改善菌毒素管理:一项审查
1Wageningen Food Safety Research, Akkermaalsbos 2, 6708WB, Wageningen, the Netherlands.
Mycotoxin research
|August 8, 2025
概括
人工智能 (AI) 通过改进的预测模型和非侵入性检测方法来增强菌毒素管理. 在实际应用人工智能模型在现实环境中仍然存在挑战.
科学领域:
- 农业科学 农业科学
- 食品科学 食品科学 食品科学
- 计算科学 计算科学
背景情况:
- 菌毒素污染对食品安全和供应链构成重大威胁.
- 不断发展的知识和技术需要先进的真菌毒素管理策略.
- 人工智能 (AI) 为毒素控制提供了一个有希望的技术进步.
研究的目的:
- 审查AI在真菌毒素管理中的当前最先进的应用.
- 专注于人工智能驱动的预测建模和真菌毒素检测方法.
- 识别在这个领域使用的流行的AI算法.
主要方法:
- 进行了系统的文献审查.
- 分析了70个相关参考文献,包括预测模型和检测技术.
- 人工智能应用程序和算法在真菌毒素管理中的分类.
主要成果:
- 人工智能显著改善了在收获前和收获后阶段对真菌毒素存在的预测模型.
- 人工智能使得像成像和电子鼻子这样的快速,非侵入性的检测方法成为可能.
- 为各种真菌毒素管理任务确定了流行的AI算法.
结论:
- 人工智能为推进真菌毒素预测和检测能力提供了巨大的潜力.
- 人工智能模型的可扩展性和实际实施仍然是关键挑战.
- 需要进一步的研究来弥合人工智能开发和现实世界应用之间的差距.
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