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Smart sensors, sensing mechanisms and platforms of sustainable smart agriculture realized through the big data analysis

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Abstract

At present, there is little research on the application of wireless sensor networks in the agricultural field. In order to improve the operating performance and practical effects of the intelligent agricultural system, based on data mining technology, this paper uses ZigBee wireless sensor network as the networking technology to cover all aspects of crops under the guidance of the concept of sustainable agricultural development, and realizes the data collection and remote-control process of the agricultural production process, and conducts data analysis and processing through data mining. Moreover, in order to improve the performance of the model, this paper proposes to use the single-point crossover multiple-generation genetic algorithm to optimize the weights and thresholds of the BP neural network to establish the Multi-Generation Genetic Algorithm Back Propagation MGABP model. In addition, in application, the analytic hierarchy process is introduced as the guidance mechanism of neural networks. Finally, this paper designs experiments to analyze the performance of the system constructed in this paper, and uses mathematical statistics to perform statistics on experimental results. The experimental analysis and statistical diagrams of various parameters shows the outcome of this study. The research results show that the intelligent agricultural system model constructed in this paper has certain practical effects.

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Authors and Affiliations

  1. Department of Electromechanical Engineering, Beijing Institute of Technology, Beijing, 100081, China

    Weilian Liu

  2. Shijiazhuang University of Applied Technology, Shijiazhuang, 050081, Hebei, China

    Weilian Liu

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  1. Weilian Liu
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WL- collected data; provided resources and software; supervised the performance; interpreted the results; wrote and reviewed the manuscript.

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Correspondence to Weilian Liu.

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Liu, W. Smart sensors, sensing mechanisms and platforms of sustainable smart agriculture realized through the big data analysis. Cluster Comput 26, 2503–2517 (2023). https://doi.org/10.1007/s10586-021-03295-3

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