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Intelligent edge based smart farming with LoRa and IoT

Author

Listed:
  • S. Raja Gopal

    (Koneru Lakshmaiah Education Foundation)

  • V. S. V. Prabhakar

    (Koneru Lakshmaiah Education Foundation)

Abstract

Internet of Things (IoT) acts as an important role in the area of farming to enhance quality and productivity. In this paper, an intelligent edge based module with LoRa and IoT is proposed for smart farming. Smart farming consists of five layered architecture including edge computing to improve quality of data (QoD) and latency performance. For QoD, a Double selecting algorithm is used, and performance is measured using the following parameters: communications latency, data collecting time, energy consumption, and data quality. Quality of data is 100% for the implemented double selection approach and energy consumption, communication latency, data collection time parameters are also minimum compared to other approaches. A test-bed for smart farming and auto-irrigation is implemented using LoRa and cloud. The proposed test-bed is evaluated in real-time, with temperature, humidity, and soil moisture being relayed to the cloud on a regular basis using LoRa, and the results assessed. With improved QoD and latency performance, the suggested intelligent edge based smart farming test-bed with LoRa and IoT delivers good acceptable results for smart farming and auto-irrigation.

Suggested Citation

  • S. Raja Gopal & V. S. V. Prabhakar, 2024. "Intelligent edge based smart farming with LoRa and IoT," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 15(1), pages 21-27, January.
    • Handle: RePEc:spr:ijsaem:v:15:y:2024:i:1:d:10.1007_s13198-021-01576-z
    DOI: 10.1007/s13198-021-01576-z
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