Estimativa da evapotranspiração de referência para fins de manejo da irrigação

Abstract

Irrigated agriculture is the most water-consuming sector in Brazil, representing one of the main challenges for the sustainable use of water. This study proposes and experimentally evaluates univariate time series models that predict the value of reference evapotranspiration, a metric of the loss water from crop to the environment. Reference evapotranspiration plays an important role in irrigation management since it can be used to reduce the amount of water that will not be absorved by the crop. The experiments were performed under the meteorological dataset generated by a weather station. Moreover, the results show that the approach is a viable and lower cost solution for predicting reference evapotranspiration, since only a variable needs to be monitored.