1 publication

• Published Subscription 14 Dec 2020

  Modeling Evapotranspiration using Artificial Neural Networks

  By Rajeev R. Sahay, Ravi Prakash, Amrit Anand, Prashant Koushik

  Abstract: The prior knowledge of evapotranspiration (ET0) is crucial for estimating crop-water demand, preparation of water distribution schedules and water diversion. The present study investigates the utility of artificial neural networks (ANNs) and linear regression models (LRs) for forecasting ET0 based on hydro-meteorological data. Based on different inputs, eight ANN and LR models are developed. The results are compared with those of FAO-56 Penman-Monteith expression. The published daily climatic data from …

  Published in Recent Trends in Civil Engineering & Technology · Vol. 3, Issue 3, 2013 · pp. 29–35 Read article →