GarcÃa-RodrÃguez, L.d.C.; Prado-Olivarez, J.; Guzmán-Cruz, R.; RodrÃguez-Licea, M.A.; Barranco-Gutiérrez, A.I.; Perez-Pinal, F.J.; Espinosa-Calderon, A.
Mathematical Modeling to Estimate Photosynthesis: A State of the Art. Appl. Sci. 2022, 12, 5537.
https://doi.org/10.3390/app12115537
AMA Style
GarcÃa-RodrÃguez LdC, Prado-Olivarez J, Guzmán-Cruz R, RodrÃguez-Licea MA, Barranco-Gutiérrez AI, Perez-Pinal FJ, Espinosa-Calderon A.
Mathematical Modeling to Estimate Photosynthesis: A State of the Art. Applied Sciences. 2022; 12(11):5537.
https://doi.org/10.3390/app12115537
Chicago/Turabian Style
GarcÃa-RodrÃguez, Luz del Carmen, Juan Prado-Olivarez, Rosario Guzmán-Cruz, MartÃn Antonio RodrÃguez-Licea, Alejandro Israel Barranco-Gutiérrez, Francisco Javier Perez-Pinal, and Alejandro Espinosa-Calderon.
2022. "Mathematical Modeling to Estimate Photosynthesis: A State of the Art" Applied Sciences 12, no. 11: 5537.
https://doi.org/10.3390/app12115537
APA Style
GarcÃa-RodrÃguez, L. d. C., Prado-Olivarez, J., Guzmán-Cruz, R., RodrÃguez-Licea, M. A., Barranco-Gutiérrez, A. I., Perez-Pinal, F. J., & Espinosa-Calderon, A.
(2022). Mathematical Modeling to Estimate Photosynthesis: A State of the Art. Applied Sciences, 12(11), 5537.
https://doi.org/10.3390/app12115537
