Research on Plant Growth Environment Control System Based on BP Neural Network
Abstract— As an advanced stage of modern facility agriculture development, plant factory is an efficient agricultural production system that realizes optimal plant growth by regulating plant growth environment. It mainly complies the automatic control of environmental factors such as temperature, humidity, illuminance and CO2 concentration during plant growth. With the application of neural network in nonlinear and strong coupling control systems, this paper establishes a plant growth environment control system based on LabVIEW. Depend on this platform, we study and establish an environmental state model based on BP neural network, and achieve precise plant growth environment control. The experimental result proves that the system runs stably and reliably and meets the design requirements.
Index Terms— BP neural network, plant growth, control system, LabVIEW
Meng Li, Liguo Tian, Chuang Liu, Hang Ding
Tianjin Key Laboratory of Information Sensing & Intelligent Control, Tianjin University of Technology and Education, CHINA
Cite: Meng Li, Liguo Tian, Chuang Liu, Hang Ding, "Research on Plant Growth Environment Control System Based on BP Neural Network," Proceedings of 2019 the 9th International Workshop on Computer Science and Engineering, pp. 370-377, Hong Kong, 15-17 June, 2019.