Article Versions Notes

Gao P, Xu W, Yan T, Zhang C, Lv X, He Y. Application of Near-Infrared Hyperspectral Imaging with Machine Learning Methods to Identify Geographical Origins of Dry Narrow-Leaved Oleaster (Elaeagnus angustifolia) Fruits. Foods. 2019; 8(12):620. https://doi.org/10.3390/foods8120620

Gao, Pan, Wei Xu, Tianying Yan, Chu Zhang, Xin Lv, and Yong He. 2019. "Application of Near-Infrared Hyperspectral Imaging with Machine Learning Methods to Identify Geographical Origins of Dry Narrow-Leaved Oleaster (Elaeagnus angustifolia) Fruits" Foods 8, no. 12: 620. https://doi.org/10.3390/foods8120620

Gao, P., Xu, W., Yan, T., Zhang, C., Lv, X., & He, Y. (2019). Application of Near-Infrared Hyperspectral Imaging with Machine Learning Methods to Identify Geographical Origins of Dry Narrow-Leaved Oleaster (Elaeagnus angustifolia) Fruits. Foods, 8(12), 620. https://doi.org/10.3390/foods8120620