Estimation of daily evapotranspiration rate for coimbatore region using ANN modeling technique

Water conservation is the world's most spoken and written topic in recent times, coupled with global environmental phenomena like Global warming and climate change. There has been increased efforts to curtail unnecessary use of water for irrigation purposes. Drip irrigation solves only a portion of this problem. The real necessity today revolves around creating a smart system that is independent of human interference and human judgment. This work aims to establish a consensus between both by calculating a parameter known as Evapotranspiration (ETo). The standard Food and Agricultural Organization of the United Nations (FAO)-56 Penman-Monteith (PM) equation is taken as a reference for calculating the ETo value. This equation requires several meteorological inputs for estimating reference evapotranspiration (ETo). This work aims to define the model of evapotranspiration estimation that best adapts to the region of Coimbatore, Tamil Nadu, India. Here atmospherically parameters were fed into the Penman-Monteith equation and the ET predicted by the empirical model is considered as target and this was used to train the ANN model. The best results are tabulated through this work and their wavelet family is recommended for the Coimbatore region alone.