Automated and explainable machine learning for monitoring lipid and protein oxidative damage in mutton using hyperspectral imaging

Weiguo Yi; Xingyan Zhao; Xueyan Yun; Songlei Wang; Tungalag Dong

doi:10.1016/j.foodres.2025.115905

journal article Feb 01, 2025

Automated and explainable machine learning for monitoring lipid and protein oxidative damage in mutton using hyperspectral imaging

Weiguo Yi Xingyan Zhao Xueyan Yun Songlei Wang Tungalag Dong

Food Research International Vol. 203 pp. 115905 · Elsevier BV

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References

Details

Published: Feb 01, 2025
Vol/Issue: 203
Pages: 115905
License: View

Authors

Funding

Agriculture Research System of China

Ministry of Agriculture and Rural Affairs of the People's Republic of China Award: CARS-38

Government of Inner Mongolia Autonomous Region

Natural Science Foundation of Inner Mongolia Autonomous Region Award: 2023MS03003

Cite This Article

Weiguo Yi, Xingyan Zhao, Xueyan Yun, et al. (2025). Automated and explainable machine learning for monitoring lipid and protein oxidative damage in mutton using hyperspectral imaging. Food Research International, 203, 115905. https://doi.org/10.1016/j.foodres.2025.115905

Automated and explainable machine learning for monitoring lipid and protein oxidative damage in mutton using hyperspectral imaging

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