APA (7th ed.) Citation

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

Chicago Style (17th ed.) Citation

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

MLA (9th ed.) Citation

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.

Warning: These citations may not always be 100% accurate.