HUBEI AGRICULTURAL SCIENCES ›› 2022, Vol. 61 ›› Issue (14): 165-170.doi: 10.14088/j.cnki.issn0439-8114.2022.14.030
• Information Engineering • Previous Articles Next Articles
LEI Juan
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Abstract: Farmland environmental information is an important basis for formulating farmland management strategies. In order to collect farmland environmental information in real time and stably, this paper designed and developed a remote monitoring system for farmland environmental information based on NB-IoT combining the advantages of NB-IoT. The system used STM32F103RCT6 MCU and sensor terminal to collect real-time farmland environmental data such as temperature, humidity, light intensity, carbon dioxide concentration, soil humidity, etc., and transmitited the collected data to the OneNET platform-based farmland environmental monitoring cloud platform through NB IoT network. Users can access the farmland environmental monitoring cloud platform through the farmland environmental monitoring App or PC to obtain the farmland environmental monitoring data. The system test results showed that the system could obtain real-time farmland environment information, such as temperature, humidity, light intensity, carbon dioxide concentration, soil humidity, etc. The temperature control accuracy was kept at a high level of ±0.2 ℃, and the relative error was 0.57%. The humidity control accuracy was kept at ±2% RH, and the relative error was 1.66%. The accuracy of light intensity control was kept at ±63 lx, and the relative error was 0.24%. The control accuracy of carbon dioxide concentration was kept at ±45.46 μmol/L, and the relative error was 0.34%. The accuracy of soil moisture control was kept at ±2%, and the relative error was 1.44%. The system has stable operation, real-time and accurate data transmission, practical function, and simple operation, and can be deployed on a large scale, which provides an effective reference for agricultural monitoring and internet of things application research.
Key words: NB-IoT, farmland, remote monitoring, environmental monitoring
CLC Number:
S126
TN929.5
TP391.44
LEI Juan. Design and implementation of farmland environment monitoring system based on NB-IoT[J]. HUBEI AGRICULTURAL SCIENCES, 2022, 61(14): 165-170.
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URL: http://www.hbnykx.cn/EN/10.14088/j.cnki.issn0439-8114.2022.14.030
http://www.hbnykx.cn/EN/Y2022/V61/I14/165