ListarDIR-Artículos, capítulos... por tema "Forecasting"
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AgroML: An Open-Source Repository to Forecast Reference Evapotranspiration in Different Geo-Climatic Conditions Using Machine Learning and Transformer-Based Models
(MDPI, 2022)Accurately forecasting reference evapotranspiration (ET0) values is crucial to improve crop irrigation scheduling, allowing anticipated planning decisions and optimized water resource management and agricultural production. ... -
Monthly Precipitation Forecasts Using Wavelet Neural Networks Models in a Semiarid Environment
(MDPI, 2020)Accurate forecast of hydrological data such as precipitation is critical in order to provide useful information for water resources management, playing a key role in different sectors. Traditional forecasting methods present ...