Accurately estimating evaporation is necessary for calculating and scheduling irrigation water requirements. Current literature points to the use of individual machine learning models for better estimation of evaporation. However, such methods have not been used in the Indian framework. Moreover, given the diversity of climate, it is necessary to develop an ensemble technique incorporating a significant number of machine learning algorithms to have a better estimation of weekly evaporation. The purpose of this paper is to develop an ensemble technique that makes the machine learning models that have a better estimation of weekly evaporation. The results showed that the Bagging Random Forest model has a much better performance in estimating weekly evaporation compared to other fitted ensemble models.
Machine Learning, Ensemble, Bagging, Evaporation, Random Forest
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