IoT Based Smart Greenhouse Design with an Intelligent Supervisory Fuzzy Optimized Controller

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Abstract
Internet of things (IoT) alludes to the network of physical objects that are connected to the internet, to share data and send control commands. It has been used in many plants for different purposes. This paper presents an intelligent supervisory fuzzy controller (ISFC) to control the temperature, soil moisture, and humidity in the smart greenhouse by using IoT. The introduced ISFC checks data and prevents plant damage and also has an alarming system to notify users. Membership functions of the proposed controller are optimized by using the Jaya algorithm. It has been designed to be users friendly so that the user can monitor and change the desired value of the parameters of the greenhouse remotely and also be notified of the occurrence of any event like a fire. Practical results show that greenhouse parameters are successfully controlled by the suggested controller.

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