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

Antonio Valente (), Carlos Costa, Leonor Pereira, Bruno Soares, José Lima and Salviano Soares
Additional contact information
Antonio Valente: Engineering Department, School of Sciences and Technology, UTAD, 5000-801 Vila Real, Portugal
Carlos Costa: Engineering Department, School of Sciences and Technology, UTAD, 5000-801 Vila Real, 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
Salviano Soares: Engineering Department, School of Sciences and Technology, UTAD, 5000-801 Vila Real, Portugal

Agriculture, 2022, vol. 12, issue 10, 1-17

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.

Keywords: smart agriculture; IoT; LoRaWAN; WSN; water status (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/2077-0472/12/10/1695/pdf (application/pdf)
https://www.mdpi.com/2077-0472/12/10/1695/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jagris:v:12:y:2022:i:10:p:1695-:d:942651

Access Statistics for this article

Agriculture is currently edited by Ms. Leda Xuan

More articles in Agriculture from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().