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A LoRaWAN IoT System for Smart Agriculture for Vine Water Status Determination

Author

Listed:
  • Antonio Valente

    (Engineering Department, School of Sciences and Technology, UTAD, 5000-801 Vila Real, Portugal
    INESC TEC—INESC Technology and Science, 4200-465 Porto, Portugal)

  • Carlos Costa

    (Engineering Department, School of Sciences and Technology, UTAD, 5000-801 Vila Real, Portugal
    CISeD—Research Centre in Digital Services, Polytechnic of Viseu, 3504-510 Viseu, Portugal)

  • Leonor Pereira

    (CoLAB Vines&Wines—National Collaborative Laboratory for the Portuguese Wine Sector, Associação para o Desenvolvimento da Viticultura Duriense (ADVID), Edifício Centro de Excelência da Vinha e do Vinho, Régia Douro Park, 5000-033 Vila Real, Portugal)

  • Bruno Soares

    (CoLAB Vines&Wines—National Collaborative Laboratory for the Portuguese Wine Sector, Associação para o Desenvolvimento da Viticultura Duriense (ADVID), Edifício Centro de Excelência da Vinha e do Vinho, Régia Douro Park, 5000-033 Vila Real, Portugal)

  • José Lima

    (INESC TEC—INESC Technology and Science, 4200-465 Porto, Portugal
    Research Centre in Digitalization and Intelligent Robotics (CeDRI) and Laboratório para a Sustentabilidade e Tecnologia em Regiões de Montanha (SusTEC), Instituto Politécnico de Bragança, 5300-253 Bragança, Portugal)

  • Salviano Soares

    (Engineering Department, School of Sciences and Technology, UTAD, 5000-801 Vila Real, Portugal
    IEETA—Institute of Electronics and Informatics Engineering of Aveiro, 3810-193 Aveiro, Portugal)

Abstract

In view of the actual climate change scenario felt across the globe, resource management is crucial, especially with regard to water. In this sense, continuous monitoring of plant water status is essential to optimise not only crop management but also water resources. Currently, monitoring of vine water status is done through expensive and time-consuming methods that do not allow continuous monitoring, which is especially inconvenient in places with difficult access. The aim of the developed work was to install three groups of sensors (Environmental, Plant and Soil) in a vineyard and connect them through LoRaWAN protocol for data transmission. The results demonstrate that the implemented system is capable of continuous data communication without data loss. The reduced cost and superior range of LoRaWAN compared to WiFi or Bluetooth is especially important for applications in remote areas where cellular networks have little coverage. Altogether, this methodology provides a remote, continuous and more effective method to monitor plant water status and is capable of supporting producers in more efficient management of their farms and water resources.

Suggested Citation

  • Antonio Valente & Carlos Costa & Leonor Pereira & Bruno Soares & José Lima & Salviano Soares, 2022. "A LoRaWAN IoT System for Smart Agriculture for Vine Water Status Determination," Agriculture, MDPI, vol. 12(10), pages 1-17, October.
    • Handle: RePEc:gam:jagris:v:12:y:2022:i:10:p:1695-:d:942651
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    References listed on IDEAS

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    1. Zinkernagel, Jana & Maestre-Valero, Jose. F. & Seresti, Sogol Y. & Intrigliolo, Diego S., 2020. "New technologies and practical approaches to improve irrigation management of open field vegetable crops," Agricultural Water Management, Elsevier, vol. 242(C).
    2. Gurdeep Singh Malhi & Manpreet Kaur & Prashant Kaushik, 2021. "Impact of Climate Change on Agriculture and Its Mitigation Strategies: A Review," Sustainability, MDPI, vol. 13(3), pages 1-21, January.
    3. García-Tejera, Omar & López-Bernal, Álvaro & Orgaz, Francisco & Testi, Luca & Villalobos, Francisco J., 2021. "The pitfalls of water potential for irrigation scheduling," Agricultural Water Management, Elsevier, vol. 243(C).
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    Cited by:

    1. Dimitre D. Dimitrov, 2023. "Internet and Computers for Agriculture," Agriculture, MDPI, vol. 13(1), pages 1-7, January.

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