Identification and quantification of chicken adulteration in lamb using multi-task deep learning based on near-infrared spectroscopy
- DOI
- 10.1016/j.foodchem.2026.151087
- Published
- 2026-11
- Container
- Food Chemistry
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.foodchem.2026.151087,
title = {Identification and quantification of chicken adulteration in lamb using multi-task deep learning based on near-infrared spectroscopy},
author = {Yujia Fan and Yinghan Gao and Jiaqian Cao and Kefan Wei and Liyuan Qin and Rong Li and Yiyun Zhang and Jiale Li and Chao Wang and Qingyu Zhao and Qun Shen and Yong Xue},
year = {2026},
journal = {Food Chemistry},
doi = {10.1016/j.foodchem.2026.151087},
url = {https://doi.org/10.1016/j.foodchem.2026.151087}
}RIS
TY - JOUR TI - Identification and quantification of chicken adulteration in lamb using multi-task deep learning based on near-infrared spectroscopy AU - Yujia Fan AU - Yinghan Gao AU - Jiaqian Cao AU - Kefan Wei AU - Liyuan Qin AU - Rong Li AU - Yiyun Zhang AU - Jiale Li AU - Chao Wang AU - Qingyu Zhao AU - Qun Shen AU - Yong Xue PY - 2026 JO - Food Chemistry DO - 10.1016/j.foodchem.2026.151087 UR - https://doi.org/10.1016/j.foodchem.2026.151087 ER -
APA
Fan, Y., Gao, Y., Cao, J., Wei, K., Qin, L., Li, R., Zhang, Y., Li, J., Wang, C., Zhao, Q., Shen, Q., & Xue, Y. (2026). Identification and quantification of chicken adulteration in lamb using multi-task deep learning based on near-infrared spectroscopy. Food Chemistry. https://doi.org/10.1016/j.foodchem.2026.151087
Source records
- crossref · retrieved 2026-09-26T09:57:42.494Z