Abstract:
A study has been conducted to develop a data simulation model and irrigation schedules for the Eastern Godavari Delta irrigation System, Andhra Pradesh. The present system of scheduling in the study area is the traditional procedure and a more scientific scheduling method is proposed so as to result in water saving in irrigation. An artificial neural network (ANN) model has been developed for forecasting the evaporation from rice fields. The performance of the model is evaluated by comparing the results with observed data. The output of this ANN model is then fed to the model CROPWAT', a program developed by FAO, to develop the irrigation schedule. The final output of the model is the amount of irrigation to be applied to each field and the time of each irrigation. The water allocation to canal is also computed after developing the schedule. The ANN model has been employed to assist irrigation managers to plan in the beginning of the season. where sufficient data is not available.
