Selecting models for the estimation of reference evapotranspiration for irrigation scheduling purposes

Controlled water stress in agricultural crops in brazilian cerrado

(2020) Igor Silva Santos et al.   Bioscience Journal

Estimation of reference evapotranspiration in Brazil with limited meteorological data using ANN and SVM – A new approach

(2019) Lucas Borges Ferreira et al.   JOURNAL OF HYDROLOGY

Comparison of neuron-based, kernel-based, tree-based and curve-based machine learning models for predicting daily reference evapotranspiration

(2019) Lifeng Wu et al.   PLoS One

Development and assessment of a smartphone application for irrigation scheduling in cotton

(2016) G. Vellidis et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Worldwide assessment of the Penman–Monteith temperature approach for the estimation of monthly reference evapotranspiration

(2016) Javier Almorox et al.   THEORETICAL AND APPLIED CLIMATOLOGY

Crop evapotranspiration estimation with FAO56: Past and future

(2015) Luis S. Pereira et al.   AGRICULTURAL WATER MANAGEMENT