Abstract
There are many agricultural crops that need a protected environment where a stable temperature and relative humidity is maintained for their best development, production, and productivity, that is why there is a lot of research on greenhouses and types, as well as studies on how to maintain a stable environment in said greenhouse considering several independent factors. The research presented is precisely the modeling and simulation of the control of temperature and relative humidity inside the greenhouse using fuzzy logic in LabVIEW. This research is carried out at the Professional School of Agroindustrial Engineering of the National University of Moquegua, Peru. For the control of temperature and relative humidity inside a greenhouse, it is carried out through modeling and simulation using fuzzy logic with multiple inputs and multiple outputs with block programming and in LabVIEW. When entering the variables of temperature and relative humidity in the greenhouse, the speed of the exhaust fan and the humidification by means of the wet porous bed humidifier are the answers. As a result of this modeling and simulation, it is shown that it is possible to control the temperature and relative humidity in the greenhouse using fuzzy logic in LabVIEW.
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Acknowledgements
Acknowledgments to the Professional School of Agroindustrial Engineering of the National University of Moquegua, Peru, to my fellow professors at the university, and to all the people who made this research possible.
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Pacco, H.C. (2024). Control of Temperature and Relative Humidity in Greenhouse by Humidification System Using Fuzzy Logic in LabVIEW. In: Nagar, A.K., Jat, D.S., Mishra, D.K., Joshi, A. (eds) Intelligent Sustainable Systems. WorldCIST 2023. Lecture Notes in Networks and Systems, vol 828. Springer, Singapore. https://doi.org/10.1007/978-981-99-8111-3_2
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DOI: https://doi.org/10.1007/978-981-99-8111-3_2
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