Man

EMILIO CAMACHO POYATO

Director

Universidad de Córdoba

Córdoba, España

Líneas de Investigación


Gestión del agua de riego Riego de precisión Ahorro de energía en el regadío Técnicas de IA aplicadas a la gestión del agua y la energía Energías renovables aplicadas al riego

Educación

  •  Ingeniería Hidráulica y Riegos, Universidad de Córdoba. España, 1993

Experiencia Académica

  •   Director Full Time

    Universidad de Córdoba

    Córdoba, España

    1991 - At present

Experiencia Profesional

  •   Catedrático Full Time

    Univresidad de Córdoba

    España

    1991 - At present

Difusión y Transferencia


1. Carmen Alcaide Zaragoza, Irene Fernández García, Isabel Martín García, Emilio Camacho Poyato, Juan Antonio Rodríguez Díaz. 2022. Spatio-temporal analysis of nitrogen variations in an irrigation distribution network using reclaimed water for irrigating olive trees. Agricultural Water Management 262 (2022) 107353
2. R. González Perea, E. Camacho Poyato, J.A. Rodríguez Díaz. 2021. Forecasting of applied irrigation depths at farm level for energy tariff periods using Coactive neuro-genetic fuzzy system. Agricultural Water Management 256, pp 1-12
3. Pérez-Padillo, J.; Morillo, J.G.; Poyato, E.C.; Montesinos, P. 2021. Open-Source Application forWater Supply System Management: Implementation in a Water Transmission System in Southern Spain. Water 2021, 13, 3652.
1. Aida Mérida García; Rafael González Perea; Emilio Camacho; Pilar Montesinos; Juan Antonio Rodríguez Díaz. 2020. Comprehensive sizing methodology of smart photovoltaic irrigation systems. Agricultural Water Management. 229, pp. 1 – 9.
2. Aida Mérida García; John Gallagher; Aonghus McNabola; Emilio Camacho; Pilar Montesinos; Juan Antonio Rodríguez Díaz. 2019. Comparing the environmental and economic impacts of on or off-grid solar photovoltaics with traditional energy sources for rural irrigation systems. Renewable Energy. 140, pp. 895 - 904.
3. Rafael González Perea; Emilio Camacho; Pilar Montesinos; Juan Antonio Rodríguez Díaz. Optimisation of water demand forecasting by artificial intelligence with short data sets (2019). Biosystems Engineering. 177, pp. 59 – 66.
4. Rafael González Perea; Emilio Camacho; Pilar Montesinos; Juan Antonio Rodríguez Díaz. (2019). Prediction of irrigation event occurrence at farm level using optimal decision trees. Computers and Electronics in Agriculture. 157, pp. 173 – 180.
5. J. García Morillo, A. McNabola, E. Camacho, P. Montesinos, J.A. Rodríguez Díaz.(2018) Hydro-power energy recovery in pressurized irrigation networks: A case study of an Irrigation District in the South of Spain. Agricultural Water Management. 204, pp 17-27.
6. Rafael González Perea, Emilio Camacho Poyato, Pilar Montesinos, Juan Antonio Rodríguez Díaz. (2018). Optimisation of water demand forecasting by artificial intelligence with short data sets. Biosystem Engineering pp 1-8.
7. Enrique Playán, Raquel Salvador, Luis Bonet, Emilio Camacho, Diego S. Intrigliolo, Miguel A. Moreno, Juan A. Rodríguez-Díaz, José M. Tarjuelo, Cristina Madurga, Teresa Zazo, Alejandro Sánchez-de-Ribera, Alfonso Cervantes, Nery Zapata (2018). Assessing telemetry and remote control systems for water users associations in Spain. Agricultural Water Management. 202, pp 89-98.
8. Aida Mérida García, I. Fernández García, E. Camacho Poyato, P. Montesinos Barrios, J.A. Rodríguez Díaz (2018). Coupling irrigation scheduling with solar energy production in a smart irrigation management system. Journal of Cleaner Production 175, pp 670-682.
9. Irene Fernández García; Montesinos, Maria Pilar; Camacho Poyato, Emilio; Rodríguez Díaz, Juan Antonio (2017). Optimal design of pressurized irrigation networks to minimize the operational cost under different management scenarios. Water Resources Management 31, pp 1995–2010.
10. Rafael González Perea, Fernández García, Irene; Martín Arroyo, Manuel; Rodríguez Díaz, Juan Antonio; Camacho Poyato, Emilio; Montesinos, Maria Pilar. (2017). Multiplatform application for precision irrigation scheduling in strawberries. Agricultural Water Management. 183, pp 194–201.