A Survey on LoRa for Smart Agriculture: Current Trends and Future Perspectives

This paper provides a survey on the adoption of LoRa in the agricultural field, and reviews state-of-the-art solutions for Smart Agriculture, analyzing the potential of this technology in different infield applications. In particular, we consider four reference scenarios, namely irrigation systems,...

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Veröffentlicht in:IEEE internet of things journal Jg. 10; H. 4; S. 1
Hauptverfasser: Pagano, Antonino, Croce, Daniele, Tinnirello, Ilenia, Vitale, Gianpaolo
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Piscataway IEEE 15.02.2023
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Agriculture
Computer architecture
Internet of Things
Internet of Things (IoT)
Irrigation systems
LoRa
LoRaWAN
LPWAN
Monitoring
Network latency
Power demand
Precision Agriculture
Sensors
Smart agriculture
Smart farming
State-of-the-art reviews
Temperature sensors
Trends
Wireless sensor networks
Wireless Sensor Networks (WSN)
ISSN:2327-4662, 2327-4662
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Zusammenfassung:This paper provides a survey on the adoption of LoRa in the agricultural field, and reviews state-of-the-art solutions for Smart Agriculture, analyzing the potential of this technology in different infield applications. In particular, we consider four reference scenarios, namely irrigation systems, plantation and crop monitoring, tree monitoring, and livestock monitoring, which exhibit heterogeneous requirements in terms of network bandwidth, density, sensors' complexity, and energy demand, as well as latency in the decision process. We discuss how LoRa-based solutions can work in these scenarios, analyzing their scalability, interoperability, network architecture, and energy-efficiency. Finally, we present possible future research directions and point out some open issues which might become the main research trends for the next years.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:2327-4662
2327-4662
DOI:10.1109/JIOT.2022.3230505