Design of Plant Growth Environment Monitoring System Based on Data Fusion Algorithm
Abstract— In the course of the development of facilities agriculture, plant factory is an important part. Therefore, its intelligence has became the main goal of research. This paper describes the design of a plant growth environment monitoring system, with STM32 microcontroller as the main control module which can realize the monitoring and controling of the environmental factors in the small plant factory temperature, humidity, carbon dioxide concentration. Furthermore, it uses the data fusion algorithm to improve the detection accuracy of the sensor and PID control to improve control stability. The test results show that the system is stable and reliable, and can meet the design requirements.
Index Terms— plant factory, STM32, data fusion,
Shuwei Liu, Liguo Tian, Meng Li, Hang Ding
Tianjin Key Laboratory of Information Sensing & Intelligent Control, Tianjin University of Technology and Education, CHINA
Cite: Shuwei Liu, Liguo Tian, Meng Li, Hang Ding, "Design of Plant Growth Environment Monitoring System Based on Data Fusion Algorithm," Proceedings of 2018 the 8th International Workshop on Computer Science and Engineering, pp. 799-805, Bangkok, 28-30 June, 2018.