IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v11y2021i7p619-d586378.html
   My bibliography  Save this article

A Versatile, Low-Power and Low-Cost IoT Device for Field Data Gathering in Precision Agriculture Practices

Author

Listed:
  • Raul Morais

    (Engineering Department, School of Science and Technology, University of Trás-os-Montes e Alto Douro, 5000-801 Vila Real, Portugal
    Institute for Systems and Computer Engineering, Technology andScience (INESC TEC), 4200-465 Porto, Portugal)

  • Jorge Mendes

    (Engineering Department, School of Science and Technology, University of Trás-os-Montes e Alto Douro, 5000-801 Vila Real, Portugal
    Institute for Systems and Computer Engineering, Technology andScience (INESC TEC), 4200-465 Porto, Portugal)

  • Renato Silva

    (Engineering Department, School of Science and Technology, University of Trás-os-Montes e Alto Douro, 5000-801 Vila Real, Portugal)

  • Nuno Silva

    (Engineering Department, School of Science and Technology, University of Trás-os-Montes e Alto Douro, 5000-801 Vila Real, Portugal)

  • Joaquim J. Sousa

    (Engineering Department, School of Science and Technology, University of Trás-os-Montes e Alto Douro, 5000-801 Vila Real, Portugal
    Institute for Systems and Computer Engineering, Technology andScience (INESC TEC), 4200-465 Porto, Portugal)

  • Emanuel Peres

    (Engineering Department, School of Science and Technology, University of Trás-os-Montes e Alto Douro, 5000-801 Vila Real, Portugal
    Institute for Systems and Computer Engineering, Technology andScience (INESC TEC), 4200-465 Porto, Portugal)

Abstract

Spatial and temporal variability characterization in Precision Agriculture (PA) practices is often accomplished by proximity data gathering devices, which acquire data from a wide variety of sensors installed within the vicinity of crops. Proximity data acquisition usually depends on a hardware solution to which some sensors can be coupled, managed by a software that may (or may not) store, process and send acquired data to a back-end using some communication protocol. The sheer number of both proprietary and open hardware solutions, together with the diversity and characteristics of available sensors, is enough to deem the task of designing a data acquisition device complex. Factoring in the harsh operational context, the multiple DIY solutions presented by an active online community, available in-field power approaches and the different communication protocols, each proximity monitoring solution can be regarded as singular. Data acquisition devices should be increasingly flexible, not only by supporting a large number of heterogeneous sensors, but also by being able to resort to different communication protocols, depending on both the operational and functional contexts in which they are deployed. Furthermore, these small and unattended devices need to be sufficiently robust and cost-effective to allow greater in-field measurement granularity 365 days/year. This paper presents a low-cost, flexible and robust data acquisition device that can be deployed in different operational contexts, as it also supports three different communication technologies: IEEE 802.15.4/ZigBee, LoRa/LoRaWAN and GRPS. Software and hardware features, suitable for using heat pulse methods to measure sap flow, leaf wetness sensors and others are embedded. Its power consumption is of only 83 μ A during sleep mode and the cost of the basic unit was kept below the EUR 100 limit. In-field continuous evaluation over the past three years prove that the proposed solution—SPWAS’21—is not only reliable but also represents a robust and low-cost data acquisition device capable of gathering different parameters of interest in PA practices.

Suggested Citation

  • Raul Morais & Jorge Mendes & Renato Silva & Nuno Silva & Joaquim J. Sousa & Emanuel Peres, 2021. "A Versatile, Low-Power and Low-Cost IoT Device for Field Data Gathering in Precision Agriculture Practices," Agriculture, MDPI, vol. 11(7), pages 1-16, June.
  • Handle: RePEc:gam:jagris:v:11:y:2021:i:7:p:619-:d:586378
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/11/7/619/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2077-0472/11/7/619/
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hani Alshahrani & Attiya Khan & Muhammad Rizwan & Mana Saleh Al Reshan & Adel Sulaiman & Asadullah Shaikh, 2023. "Intrusion Detection Framework for Industrial Internet of Things Using Software Defined Network," Sustainability, MDPI, vol. 15(11), pages 1-18, June.
    2. Jia Quan Goh & Abdul Rashid Mohamed Shariff & Nazmi Mat Nawi, 2021. "Application of Optical Spectrometer to Determine Maturity Level of Oil Palm Fresh Fruit Bunches Based on Analysis of the Front Equatorial, Front Basil, Back Equatorial, Back Basil and Apical Parts of ," Agriculture, MDPI, vol. 11(12), pages 1-20, November.
    3. Jorge Mendes & Emanuel Peres & Filipe Neves dos Santos & Nuno Silva & Renato Silva & Joaquim João Sousa & Isabel Cortez & Raul Morais, 2022. "VineInspector: The Vineyard Assistant," Agriculture, MDPI, vol. 12(5), pages 1-23, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jagris:v:11:y:2021:i:7:p:619-:d:586378. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.