Litcius/Paper detail

Accuracy and interpretability of machine learning-based approaches for daily ETo estimation under semi-arid climate in the West African Sahel

Roland Yonaba, Arsène Kiema, Tazen Fowé, Axel Belemtougri, Mansourou Cissé, Lawani Adjadi Mounirou, Ansoumana Bodian, Mahamadou Koïta, Harouna Karambiri

2024Earth Science Informatics17 citationsDOI

Topics & Concepts

InterpretabilityEvapotranspirationSupport vector machineRandom forestDecision treeAridClimate changeGradient boostingWind speedEstimationMachine learningVariable (mathematics)Water resourcesComputer scienceEnvironmental scienceMathematicsMeteorologyGeographyEcologyManagementBiologyEconomicsMathematical analysisPlant Water Relations and Carbon DynamicsHydrological Forecasting Using AISolar Radiation and Photovoltaics