Prediction Of Pan Evaporation Of Parbhani District Of Maharashtra By Using Artificial Neural Network

Abstract

The relative estimation is depended on the optical differentiation i.e.; complete form of the detected and predicted organized graphs. The detected and forecasted values of pan evaporation for training years 1971-2014 using ANN models with 2 chosen networks are
present in this research. According to the detected and predicted values of precipitation for monitoring years 2010-14 of ANNs are monitored. It is found that there is a nearly close acceptance between the detected and predicted pan evaporation, and complete form of the organization of predicted pan evaporation is same as the observed pan evaporation. From this research we can control the water consumption for cultivation, monitoring the condition of drought, expand the budget of water, draining of aquifer monitoring and crop estimation.