Wide area wireless networking for agricultural use cases: LoRaWAN and NB-IoT for Underground Sensors in Precision Farming
Weitverkehrsfunk-Vernetzung für landwirtschaftliche Anwendungsfälle: LoRaWAN und NB-IoT für Unterflursensoren im Precision Farming
Abstract (English below)
Abstract (Translated with Deepl)
This paper compares the usability of the Narrowband-IoT (NB-IoT) and Long Range Wide Area Network (LoRaWAN) radio standards for data transmission from sensors embedded in soil. To measure the reception quality, a sensor board equipped with each of the radio technologies was inserted into an agricultural area at depths of up to 60 cm and covered again with soil. Signal strength (RSSI) and signal-to-noise ratio (SNR) were determined. The results show that both NB-IoT and LoRaWAN have sufficient ground penetration to provide reliable communication with ground sensors. The choice can be made depending on the complexity of the application scenario and the cost. Combined with energy-efficient electronics and suitable ground sensors, new areas of application for precision farming can be developed at a reasonable cost.
Publication Gesellschaft für Informatik e.V.
Citation Haverkamp, Maximilian; Grunwald, Alexander; Westerkamp, Clemens; Schaarschmidt, Marco (2020): Weitverkehrsfunk-Vernetzung für landwirtschaftliche Anwendungsfälle: LoRaWAN und NB-IoT für Unterflursensoren im Precision Farming. 40. GIL-Jahrestagung, Digitalisierung für Mensch, Umwelt und Tier. Bonn: Gesellschaft für Informatik e.V.. PISSN: 1617-5468. ISBN: 978-3-88579-693-0. pp. 97-102. Weihenstephan, Freising. 17.-18. Februar 2020
URL https://dl.gi.de/items/478a684a-dea2-43c9-a3b8-f59b2b5a4469
Date February 2020