A New Deep Learning Model Predicts with Great Accuracy Water and Energy Demands in Agriculture
The Department of Agronomy exhibits its results as an Unit of Excellence
Artificial Intelligence tool designed to identify olive varieties based on photos of olive pits
A laboratory test demonstrates that applying silicon to olive leaves promotes their growth

Elías Fereres Castiel

Nombre Elías Fereres Castiel Elías Fereres Castiel
Área Producción Vegetal
Categoría Catedrático de Universidad. Profesor Emérito
Grupo de Investigación AGR-119 Relaciones Suelo-Agua-Planta
Teléfono +34 957 49 92 29
Fax +34 957 21 85 69
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Localización Edificio C4 (Celestino Mutis), Planta baja
TeachingTeaching
ResearchResearch
Knowledge transferKnowledge transfer