Cite
New model for the automatic detection of anthracnose in mango fruits based on Vis/NIR hyperspectral imaging and discriminant analysis.
MLA
Velásquez, Carlos, et al. “New Model for the Automatic Detection of Anthracnose in Mango Fruits Based on Vis/NIR Hyperspectral Imaging and Discriminant Analysis.” Journal of Food Measurement & Characterization, vol. 18, no. 1, Jan. 2024, pp. 560–70. EBSCOhost, https://doi.org/10.1007/s11694-023-02173-3.
APA
Velásquez, C., Prieto, F., Palou, L., Cubero, S., Blasco, J., & Aleixos, N. (2024). New model for the automatic detection of anthracnose in mango fruits based on Vis/NIR hyperspectral imaging and discriminant analysis. Journal of Food Measurement & Characterization, 18(1), 560–570. https://doi.org/10.1007/s11694-023-02173-3
Chicago
Velásquez, Carlos, Flavio Prieto, Lluís Palou, Sergio Cubero, José Blasco, and Nuria Aleixos. 2024. “New Model for the Automatic Detection of Anthracnose in Mango Fruits Based on Vis/NIR Hyperspectral Imaging and Discriminant Analysis.” Journal of Food Measurement & Characterization 18 (1): 560–70. doi:10.1007/s11694-023-02173-3.