Artificial Intelligence in Postharvest Food Safety Control of Animal-Source Foods: Evidence Thresholds, Validation, and Regulatory Applicability

<b>Background</b>: Artificial intelligence (AI) is increasingly being proposed for postharvest food-safety control of animal-source foods, but its practical value depends on whether models can support real decisions rather than only report high accuracy. <b>Methods</b>: This narrative review used a...

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主要な著者:	András Bittsánszky, Vilmos Bilicki, Gergő Sudár, Miklós Süth, Szilvia Kusza, András J. Tóth
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2026-06-01
シリーズ:	Veterinary Sciences
主題:	artificial intelligence animal-source foods postharvest food safety narrative review external validation HACCP
オンライン･アクセス:	https://www.mdpi.com/2306-7381/13/6/574
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