Machuca, G.; Staforelli, J.; Rondanelli-Reyes, M.; Garces, R.; Contreras-Trigo, B.; Tapia, J.; Sanhueza, I.; Jara, A.; Lamas, I.; Troncoso, J.M.;
et al. Hyperspectral Microscopy Technology to Detect Syrups Adulteration of Endemic Guindo Santo and Quillay Honey Using Machine-Learning Tools. Foods 2022, 11, 3868.
https://doi.org/10.3390/foods11233868
AMA Style
Machuca G, Staforelli J, Rondanelli-Reyes M, Garces R, Contreras-Trigo B, Tapia J, Sanhueza I, Jara A, Lamas I, Troncoso JM,
et al. Hyperspectral Microscopy Technology to Detect Syrups Adulteration of Endemic Guindo Santo and Quillay Honey Using Machine-Learning Tools. Foods. 2022; 11(23):3868.
https://doi.org/10.3390/foods11233868
Chicago/Turabian Style
Machuca, Guillermo, Juan Staforelli, Mauricio Rondanelli-Reyes, Rene Garces, Braulio Contreras-Trigo, Jorge Tapia, Ignacio Sanhueza, Anselmo Jara, Iván Lamas, Jose Max Troncoso,
and et al. 2022. "Hyperspectral Microscopy Technology to Detect Syrups Adulteration of Endemic Guindo Santo and Quillay Honey Using Machine-Learning Tools" Foods 11, no. 23: 3868.
https://doi.org/10.3390/foods11233868
APA Style
Machuca, G., Staforelli, J., Rondanelli-Reyes, M., Garces, R., Contreras-Trigo, B., Tapia, J., Sanhueza, I., Jara, A., Lamas, I., Troncoso, J. M., & Coelho, P.
(2022). Hyperspectral Microscopy Technology to Detect Syrups Adulteration of Endemic Guindo Santo and Quillay Honey Using Machine-Learning Tools. Foods, 11(23), 3868.
https://doi.org/10.3390/foods11233868
