Fuzzy control proposal for the climate of a homemade greenhouse

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Abstract

In this study, we develop a fuzzy control that has the ability to reduce energy use and uncertainties in crop production by reducing or increasing the temperature in a homemade urban greenhouse by opening a window to two different angles to allow the temperature inside the greenhouse to be equal to the outside temperature. We use hydroponic tomato cultivation as our test case because tomatoes are part of the goods and services category for the "Índice Nacional de Precios al Consumidor" in México, which is an important reference for greenhouse crops and because hydroponics is a technique that saves precious resources, such as water. Fuzzy control allows a person to give instructions to the greenhouse in a natural language. Therefore, we generate input variables to relate the temperature inside the greenhouse to favorable or unfavorable conditions for crop growth and an output variable that allows the control to keep the window closed or to open the window at 45 or 90 degrees. After the mathematical model was refined, it is executed in a GNU Octave environment to generate the temperature values at which the window should react.

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APA

Montes Olguín, A., & Rodriguez Jorge, R. (2017). Fuzzy control proposal for the climate of a homemade greenhouse. In Frontiers in Artificial Intelligence and Applications (Vol. 295, pp. 257–266). IOS Press BV. https://doi.org/10.3233/978-1-61499-773-3-257

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