Improvement the estimation of reference evapotranspiration by combining different types of meteorological data Using machine learning models
Irrigation and the strategic planning thereof play a pivotal role in diverse hydrological inquiries, with reference evapotranspiration (ETo) standing as a paramount variable within this domain.While the equation (FAO-56 PM)is extensively employed for (ETo)estimation, its dependence on numerous weather datas such as solar radiation, temperature, rel