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Study on farmland irrigation remote monitoring system based on ZigBee. Optimal control of greenhouse climate using minimal energy and grower defined bounds. A hybrid-controlled approach for maintaining nocturnal greenhouse temperature: Simulation study. FPGA-based startup for AC electric drives: Application to a greenhouse ventilation system. An Energy Conservative Wireless Sensor Networks Approach for Precision Agriculture. Environmental parameters monitoring in precision agriculture using wireless sensor networks. Energy efficient automated control of irrigation in agriculture by using wireless sensor networks. Open source hardware to monitor environmental parameters in precision agriculture. Preliminary Design of a low-cost greenhouse with open source control systems. Design and realization of low cost control for greenhouse environment with remote control. An intelligent system for the climate control and energy savings in agricultural greenhouses. In Proceedings of the 3rd International Workshop on RFID and Adaptive Wireless Sensor Networks, Agadir, Morocco, 13– pp. A neural network dynamic model for temperature and relative humidity control under greenhouse. Smart frost control in greenhouses by neural networks models. Fuzzy based temperature control of greenhouse. In Proceedings of the 27th Chinese Control and Decision Conference, Qingdao, China, 23– pp. Design of greenhouse environment controller based on fuzzy adaptive algorithm. Temperature control in a MISO greenhouse by inverting its fuzzy model. A fuzzy logic-based controller for integrated control of protected cultivation. Greenhouse environment parameters optimization and wireless monitoring based on maximize profit margin. A wireless sensor network-based monitoring system with dynamic convergecast tree algorithm for precision cultivation management in orchid greenhouses. Smart greenhouse fuzzy logic based control system enhanced with wireless data monitoring. An innovative adaptive control system to regulate microclimatic conditions in a greenhouse. The authors declare no conflict of interest. Finally, it should be emphasized that the application developed in this work, allowed for man–machine interaction, offering access to the configuration, monitoring, and control of a fuzzy system, as proposed in. On the other hand, the results obtained in highlight the improvements that can be achieved in terms of greenhouse temperature control when a fuzzy controller is used with particle swarm optimization. The results mentioned above are further supported in work carried out in, in which the temperature and illuminance of a greenhouse were controlled. The effectiveness of fuzzy logic, with which it was possible to define all situations that may occur in the greenhouse, was demonstrated. It was possible to obtain the wireless connectivity needed to allow any device with Wi-Fi available within the local area network established to easily and accurately monitor and control the system, additionally providing the option to manually activate the final control elements in real time, as proposed in. Thus, the use of resources for a gable roof greenhouse prototype was optimized. The effectiveness of fuzzy logic to control nonlinear systems was therefore verified without the mathematical model of the plant. The application designed allowed access to the configuration, monitoring, and control of climatic conditions in the greenhouse. Thus, it was possible to establish a local area network and monitor and control the greenhouse climate variables manually or automatically. For connectivity to the webpage, an Arduino Ethernet Shield was used. A website was designed to visualize the main indicators of agricultural interest and to get access to tools such as forced ventilation, misting systems, and sprinkler irrigation. For the control system, an Arduino Mega board was programmed with a fuzzy algorithm to monitor and perform control actions for environmental temperature, soil moisture, relative humidity, and lighting.
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The design and implementation of a low-cost system for monitoring and remote control of a greenhouse using fuzzy logic is presented.
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