Cita APA (7a ed.)

Venturini, V., Walker, E., Fonnegra Mora, D. C., & Fagioli, G. (2022). Effect of the net radiation proxies on maize and soya evapotranspiration estimation using machine learning methods. Facultad de Ciencias Agropecuarias.

Cita Chicago Style (17a ed.)

Venturini, Virginia, Elisabet Walker, Diana Carolina Fonnegra Mora, y Gianfranco Fagioli. Effect of the Net Radiation Proxies on Maize and Soya Evapotranspiration Estimation Using Machine Learning Methods. Facultad de Ciencias Agropecuarias, 2022.

Cita MLA (8a ed.)

Venturini, Virginia, et al. Effect of the Net Radiation Proxies on Maize and Soya Evapotranspiration Estimation Using Machine Learning Methods. Facultad de Ciencias Agropecuarias, 2022.