Ma, J.; Zhou, X.; Xie, B.; Wang, C.; Chen, J.; Zhu, Y.; Wang, H.; Ge, F.; Huang, F.
Application for Identifying the Origin and Predicting the Physiologically Active Ingredient Contents of Gastrodia elata Blume Using Visible–Near-Infrared Spectroscopy Combined with Machine Learning. Foods 2023, 12, 4061.
https://doi.org/10.3390/foods12224061
AMA Style
Ma J, Zhou X, Xie B, Wang C, Chen J, Zhu Y, Wang H, Ge F, Huang F.
Application for Identifying the Origin and Predicting the Physiologically Active Ingredient Contents of Gastrodia elata Blume Using Visible–Near-Infrared Spectroscopy Combined with Machine Learning. Foods. 2023; 12(22):4061.
https://doi.org/10.3390/foods12224061
Chicago/Turabian Style
Ma, Jinfang, Xue Zhou, Baiheng Xie, Caiyun Wang, Jiaze Chen, Yanliu Zhu, Hui Wang, Fahuan Ge, and Furong Huang.
2023. "Application for Identifying the Origin and Predicting the Physiologically Active Ingredient Contents of Gastrodia elata Blume Using Visible–Near-Infrared Spectroscopy Combined with Machine Learning" Foods 12, no. 22: 4061.
https://doi.org/10.3390/foods12224061
APA Style
Ma, J., Zhou, X., Xie, B., Wang, C., Chen, J., Zhu, Y., Wang, H., Ge, F., & Huang, F.
(2023). Application for Identifying the Origin and Predicting the Physiologically Active Ingredient Contents of Gastrodia elata Blume Using Visible–Near-Infrared Spectroscopy Combined with Machine Learning. Foods, 12(22), 4061.
https://doi.org/10.3390/foods12224061
