JUAN ANTONIO RODRÍGUEZ DIAZMARIA PILAR MONTESINOS BARRIOSEMILIO CAMACHO POYATO2026-01-292026-01-29201810.1016/j.agwat.2018.05.0192-s2.0-85047642671https://www.scopus.com/inward/record.uri?eid=2-s2.https://ucocris.uco.es/handle/123456789/29222Agronomy and Crop ScienceEarth-Surface ProcessesSoil ScienceWater Science and TechnologyPrediction of applied irrigation depths at farm level using artificial intelligence techniquesresearch article