Recently, the Internet of Thing technology has been usedto develop numerous applications, this paper compromisingdesign and implementation of greenhouse prototype thatintegrated with the IoT to adjust the system’s parameters andmonitor the system status from any place in this world.This system involves three intelligent controllers that designedto stabilize the temperature degree, the water level in the soil, andlight intensity inside the greenhouse prototype structure. Thesesystems have been built by two important parts: the hardwareand software.The hardware part could be achieved by designing andimplementing the control circuits, actuators, and install thesensors as well as the devices. The second one is the softwarethe part which is involves implementing Fuzzy Inference Enginethat represent the system’s brain that monitor and manage theentire process in the system to ensure the best performance.This system has been built to contain three control systems thatmeans there are three different Fuzzy controllers. In order tokeep the system practicality, the fuzzy controllers should beaggregated in single code that resides in single microcontrollerchip with additional codes that perform the IoT duties.The proposed IoT system provides the ability for specificpeople to monitor and manage their systems remotely, using aweb application with cloud technology.The major contributions of the proposed system are started bydownloading the controller’s set-points (the desiredenvironmental conditions) from the web page, transfer the setpoints to the controllers, and upload data that read fromsensors to the same web page).

Know days, the Greenhouse has been improved and developed by using modern technologies. The target of the paper is designing and implementing an intelligent cooling/heating system, the system should be built by employing a low power consumption and efficient device that called Thermo-electric cooler (Peltier). The main goal of this system is to make the temperature inside the greenhouse under control and provide the plants with appropriate environments to ensure healthy products. The system implementation should be divided into two parts: hardware and software. The hardware part is compromising the process of designing and implementing a control circuit that works on deriving the Peltier according control signals that come from the microcontroller. The second part (Software) is about designing a fuzzy controller that act as a brain of the system and manages the entire process until reaching the desired setpoints. The Fuzzy controller depend on two inputs the error (Err) and change of the error (ΔErr). The overall system is implemented based on a standalone microcontroller with a simple sensor and actuator. The prescribed system has been tested with several experiments using various transition set points. The experiments results show an accepted response that suitable for greenhouse applications.