Design of Adaptive Neuro-Fuzzy Inference System Based Automatic Control System for Integrated Environment Management of Ubiquitous Plant Factory
2011
Seo, K.K., Sangmyung University, Cheonan, Republic of Korea | Kim, Y.S., Sangmyung University, Cheonan, Republic of Korea | Park, J.S., Sangmyung University, Cheonan, Republic of Korea
The adaptive neuro-fuzzy inference system (ANFIS) based automatic control system framework was proposed for integrated environment management of ubiquitous plant factory which can collect information of crop cultivation environment and monitor it in real-time by using various environment sensors. Installed 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 ANFIS. 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 when the measured values such as temperature, humidity, CO₂, and illuminance deviated from the decent criteria. In addition, the better quality of the agricultural products can be gained through the proposed automatic control system for plant factory.
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