Karlos Espinoza

I received my Ph.D. and MSc. in Greenhouse Technology in the University of Almería, Spain under the supervision of Prof. Dr. Diego L. Valera, Dr. Alejandro López and Prof. Areceli Peña. I received my B.E. degree in Mechanical Engeeniering in the Autonomous University of Chapingo, Mexico.

My current research interests include greenhouse technology, aerodynamics, computer vision and machine learning . I have published papers in high impact scientific journals. Publications include aerodynamic analysis of natural ventilation in greenhouses by using sonic anemometry, Object Oriented Programming for development of control system of a subsonic wind tunnels and a computer vision and machine learning system for the identification of agricultural pests.

Effects of ventilator configuration on the flow pattern of a naturally-ventilated three-span Mediterranean greenhouse

Espinoza, K., L, A., Valera, D.L., Molina-Aiz, F.D., Torres, J.A., Peña, A., 2017. Effects of ventilator configuration on the flow pattern of a naturally-ventilated three-span Mediterranean greenhouse. Biosystems Engineering, Biosystems Engineering 164, 13–30.

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Combination of image processing and artificial neural networks as a novel approach for the identification of Bemisia tabaci and Frankliniella occidentalis on sticky traps in greenhouse agriculture

Espinoza, K., Valera, D. L., Torres, J. A., López, A., Molina-Aiz, F. D., September, 2016. Combination of image processing and artificial neural networks as a novel approach for the identification of Bemisia tabaci and Frankliniella occidentalis on sticky traps in greenhouse agriculture. Computers and Electronics in Agriculture (JCR 2015 5-year Impact Factor: 2.365, Q1:8/57:Agriculture, Multidisciplinary), 127, 495—505.

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An auto-tuning PI control system for an open-circuit low-speed wind tunnel designed for greenhouse technology

Espinoza, K., Valera, D. L., Torres, J. A., López, A., Molina-Aiz, F. D., August, 2015. An auto-tuning PI control system for an open-circuit low-speed wind tunnel designed for greenhouse technology. Sensors (JCR 2015 5-year Impact factor: 2.437, Q1:12/56:Instruments and Instrumentations), 15, 19723-19749.

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