AgroML: An Open-Source Repository to Forecast Reference Evapotranspiration in Different Geo-Climatic Conditions Using Machine Learning and Transformer-Based Models

JAVIER ESTÉVEZ GUALDAJUAN ANTONIO BELLIDO JIMÉNEZAMANDA PENÉLOPE GARCÍA MARÍN2026-01-292026-01-29202210.3390/agronomy120306562-s2.0-85126464849https://www.scopus.com/inward/record.uri?eid=2-s2.https://ucocris.uco.es/handle/123456789/34722Agronomy and Crop ScienceAgroML: An Open-Source Repository to Forecast Reference Evapotranspiration in Different Geo-Climatic Conditions Using Machine Learning and Transformer-Based Modelsresearch article