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Departamento de Agronomía
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Presentation
About us
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Organization
Management team and Secretary
Department Regulation
Composition of the Agronomy Department Council
Department Staff
Teaching and research staff and Research personnel contracted
Hydraulic Engineering
Plant Production
Administration and Services Staff
Research
Infrastructure
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KNOWLEDGE TRANSFER
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Technology-based company
Services
Climate Chamber Service
Recognition and biological control of insect pests
Phytopathological Diagnosis and Analysis Service
Olive Variety Identification Service
Teaching
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Masters
PhD Programs
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Master's Thesis
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Work with us
Soil Footprint: A Simple Indicator of a Crop's Impact on Soil Erosion
From daytime irrigation to selling surplus energy: solutions to optimize the use of solar energy in irrigation communities
The Master in Olive Growing and Oil Technology concludes its 15th edition
A US Soil Depth Study Reveals How Climate and Human Use Affect Erosion
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
Teaching
Research
Knowledge transfer