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Resumen
In this work the modeling, simulation, and first experimental measurements of a LoRaWAN network for the agrifood industry is presented. Firstly, the network is modeled for a farm of the future with as many sensors as would be useful, for the 4 main productive chains in Uruguay: livestock, timber, agriculture, and dairy industries. To this end, a survey of commercial sensors was carried out, a few farms were visited, and managers and partners in agro-companies were interviewed. A LoRaWAN network with a single Gateway was simulated to estimate the efficiency (related to data-packets lost), for example in the case of a 1,000-ha cattle field with more than 1,500 sensors and some cameras sharing the network. Finally, the efficiency was measured, using 40 LoRa modules @915MHz, transmitting pseudo-random to emulate up to thousands of LoRa sensors. The simulated and measured results are very similar, reaching >92% efficiency in all cases. Additionally, energy consumption and transmission distance measurements of the Lora modules are presented to corroborate they fit the requirements of IoT in agribusiness.
Idioma original | Inglés |
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Título de la publicación alojada | 2023 IEEE Conference on AgriFood Electronics, CAFE 2023 - Proceedings |
Editorial | Institute of Electrical and Electronics Engineers Inc. |
Páginas | 147-151 |
Número de páginas | 5 |
ISBN (versión digital) | 9798350327113 |
DOI | |
Estado | Publicada - 2023 |
Evento | 1st IEEE Conference on AgriFood Electronics, CAFE 2023 - Torino Duración: 25 set. 2023 → 27 set. 2023 |
Serie de la publicación
Nombre | 2023 IEEE Conference on AgriFood Electronics, CAFE 2023 - Proceedings |
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Conferencia
Conferencia | 1st IEEE Conference on AgriFood Electronics, CAFE 2023 |
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País/Territorio | Italy |
Ciudad | Torino |
Período | 25/09/23 → 27/09/23 |
Huella
Profundice en los temas de investigación de 'A Model for a Dense LoRaWAN Network in the Agribusiness'. En conjunto forman una huella única.Proyectos
- 1 Terminado
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NEON: Red de Competencias IoT
Tonello, A. (PI), Miguez de Mori, M. R. (PI) & Arnaud Maceira, A. (CoI)
15/01/21 → 14/01/24
Proyecto: Capacitación y formación