Synergizing meat science and interpretable AI: Quantifying crispness gradients for quality authentication of Tilapia fillet processing.

Tang S, Zhang L, Tian X, Zheng M, Zhang H, Zhong N

Open source

DOI
10.1016/j.foodchem.2025.144252
Published
2025 Aug 30
Container
Food chemistry
Publisher
Not recorded
Open access
unknown

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BibTeX

@article{allodium:10.1016/j.foodchem.2025.144252,
  title = {Synergizing meat science and interpretable AI: Quantifying crispness gradients for quality authentication of Tilapia fillet processing.},
  author = {Tang S and Zhang L and Tian X and Zheng M and Zhang H and Zhong N},
  year = {2025},
  journal = {Food chemistry},
  doi = {10.1016/j.foodchem.2025.144252},
  url = {https://doi.org/10.1016/j.foodchem.2025.144252}
}

RIS

TY  - JOUR
TI  - Synergizing meat science and interpretable AI: Quantifying crispness gradients for quality authentication of Tilapia fillet processing.
AU  - Tang S
AU  - Zhang L
AU  - Tian X
AU  - Zheng M
AU  - Zhang H
AU  - Zhong N
PY  - 2025
JO  - Food chemistry
DO  - 10.1016/j.foodchem.2025.144252
UR  - https://doi.org/10.1016/j.foodchem.2025.144252
ER  - 

APA

S, T., L, Z., X, T., M, Z., H, Z., & N, Z. (2025). Synergizing meat science and interpretable AI: Quantifying crispness gradients for quality authentication of Tilapia fillet processing.. Food chemistry. https://doi.org/10.1016/j.foodchem.2025.144252

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