Gu, Y.; Shi, L.; Wu, J.; Hu, S.; Shang, Y.; Hassan, M.; Zhao, C.
Quantitative Prediction of Acid Value of Camellia Seed Oil Based on Hyperspectral Imaging Technology Fusing Spectral and Image Features. Foods 2024, 13, 3249.
https://doi.org/10.3390/foods13203249
AMA Style
Gu Y, Shi L, Wu J, Hu S, Shang Y, Hassan M, Zhao C.
Quantitative Prediction of Acid Value of Camellia Seed Oil Based on Hyperspectral Imaging Technology Fusing Spectral and Image Features. Foods. 2024; 13(20):3249.
https://doi.org/10.3390/foods13203249
Chicago/Turabian Style
Gu, Yuqi, Lifang Shi, Jianhua Wu, Sheng Hu, Yuqian Shang, Muhammad Hassan, and Chao Zhao.
2024. "Quantitative Prediction of Acid Value of Camellia Seed Oil Based on Hyperspectral Imaging Technology Fusing Spectral and Image Features" Foods 13, no. 20: 3249.
https://doi.org/10.3390/foods13203249
APA Style
Gu, Y., Shi, L., Wu, J., Hu, S., Shang, Y., Hassan, M., & Zhao, C.
(2024). Quantitative Prediction of Acid Value of Camellia Seed Oil Based on Hyperspectral Imaging Technology Fusing Spectral and Image Features. Foods, 13(20), 3249.
https://doi.org/10.3390/foods13203249