Design and Manufacture of a Smart Greenhouse with Supervisory Control of Environmental Parameters Using Fuzzy Inference Controller

The Internet of Things (IoT) is an Internet network consisting of a set of objects through which they can communicate with each other. Anything that can collect data, be controlled, or communicate remotely is subject to the definition of objects in this network. New research in the field of IoT and artificial intelligence has been working in the world, including IoT applications in agriculture. The Internet of Things and artificial intelligence can be used to optimize water, energy consumption, more and better production of agricultural products. In this paper, an IoT-based smart greenhouse is designed and implemented with a monitoring controller to check data and prevent plant damage, and a fuzzy controller to intelligently control parameters such as temperature, light, soil moisture, and Greenhouse environment is used. The design created in this paper allows the user to monitor and adjust the greenhouse parameters remotely and via internet.