LoRaWAN-based system for multivariate data acquisition in high Andean agriculture
High-Andean agriculture in Peru faces significant challenges from climate change and a scarcity of reliable data for precise decision-making. Remote monitoring in these zones is constrained by a lack of Internet connectivity, particularly in hard-to-reach agricultural areas. This study presents a pr...
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| Autores principales: | , , , |
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| Formato: | Artículo |
| Lenguaje: | inglés |
| Publicado: |
Elsevier B.V.
2025
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| Materias: | |
| Acceso en línea: | Enlace permanente (DOI o Handle) |
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| Sumario: | High-Andean agriculture in Peru faces significant challenges from climate change and a scarcity of reliable data for precise decision-making. Remote monitoring in these zones is constrained by a lack of Internet connectivity, particularly in hard-to-reach agricultural areas. This study presents a prototype Internet of Things (IoT) system based on LoRaWAN technology for the collection and storage of multivariate data tailored for agriculture in high-Andean zones. The system integrates sensors for temperature, humidity, solar radiation, wind speed, and wind direction, transmitting the information via long-range, low-power communication to an IoT server for storage and analysis. Field tests, conducted at 3,800 m.a.s.l., achieved communication distances of 5 km and 10 km with a 100% successful transmission rate. The sensor nodes were solar powered, enabling autonomous and continuous operation. The results demonstrate that LoRaWAN can overcome connectivity barriers in high-altitude rural environments, offering a scalable and sustainable solution that strengthens climate resilience and optimizes agricultural practices in high-Andean regions. |
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