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Updated: May 1, 2026

A Fish-feeding Laboratory Bioassay to Assess the Antipredatory Activity of Secondary Metabolites from the Tissues of Marine Organisms
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使用色度分析和基于机器学习的预测模型进行鱼 (Scomber japonicus) 的非破坏性新鲜度评估

Du-Min Jo1, Hyun-Soo Kang2, Ye-Bin Jang3

  • 1National Marine Biodiversity Institute of Korea, Seochun, Chungcheongnam-do 33662, Republic of Korea.

Food chemistry
|September 4, 2025
PubMed
概括

颜色分析提供了一种快速,无损的方法来评估鱼的新鲜度. 这种技术与机器学习相结合,可以准确预测海产品的质量,改善工业应用.

关键词:
颜色测量分析机器学习鱼的新鲜度非破坏性评估预测模型海产品质量

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相关概念视频

Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
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