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    Research on the construction of smart agriculture development mode in Shaanxi Province under the background of rural revitalization strategy
    JIANG Feng-xiang, REN Da-peng, DU Mou-tao, WANG Xin, LIN Jun-jie, QIN Xiao-long, FAN Li
    HUBEI AGRICULTURAL SCIENCES    2022, 61 (12): 143-146.   DOI: 10.14088/j.cnki.issn0439-8114.2022.12.029
    Abstract683)      PDF (1600KB)(427)       Save
    The rural revitalization strategy is a fundamental strategy to solve the issues concerving “agriculture, rural areas and rural residents”. Only by revitalizing the rural economy can the overall quality and speed of China’s economy be improved, and smart agriculture can help revitalize the rural economy. Smart agriculture comprehensively uses cutting-edge technologies such as multiple types of network technology, barcode technology, big data technology, and smart technology to realize information traceability management in agricultural production and circulation, and can provide data support for government departments in agricultural supervision, management, support and decision,and establish a highly credible circulation system for agricultural-related enterprises. Under the background of the rural revitalization strategy, Shaanxi Province should develop smart agriculture, improve the efficiency of the entire agricultural field, promote the transformation and development of agriculture, and make Shaanxi become a strong agricultural province. This article mainly studied the strategies for constructing smart agriculture development mode in Shaanxi Province under the background of rural revitalization strategy.
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    Design and implementation of farmland environment monitoring system based on NB-IoT
    LEI Juan
    HUBEI AGRICULTURAL SCIENCES    2022, 61 (14): 165-170.   DOI: 10.14088/j.cnki.issn0439-8114.2022.14.030
    Abstract567)      PDF (2380KB)(404)       Save
    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.
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