A Simulation Study on an Artificial Neural Network based Automatic Control System of a Plant Factory
نویسنده
چکیده
This paper proposes a framework to design an automatic control system of a plant factory based on artificial neural network (ANN) and presents the simulation results of the proposed system. The proposed system can collect information of crop cultivation environment and monitor it in real-time by using various environment sensors. Installed wire or wireless sensor nodes, based on the sensor network, collect the growing condition's information such as temperature, humidity, CO2, and the control system is to monitor the control devices by using ANN. The proposed automatic control system provides that users can control all equipments installed on the plant factory directly or remotely and the equipments can be controlled automatically. The simulation results show the application possibility of the proposed system in a plant factory.
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