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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| Formato: | Artículo |
| Lenguaje: | inglés |
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Elsevier B.V.
2025
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| Acceso en línea: | Enlace permanente (DOI o Handle) |
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| _version_ | 1881508970802184192 |
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| author | Quea Lopez, Godofredo Condori Coaquira, Angel Rosendo Otazu Luque, Jorge Eddy Gutierrez Quispe, Eder |
| author_browse | Condori Coaquira, Angel Rosendo Gutierrez Quispe, Eder Otazu Luque, Jorge Eddy Quea Lopez, Godofredo |
| author_facet | Quea Lopez, Godofredo Condori Coaquira, Angel Rosendo Otazu Luque, Jorge Eddy Gutierrez Quispe, Eder |
| author_sort | Quea Lopez, Godofredo |
| collection | Producción científica |
| description | 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. |
| format | Article |
| id | oai:cris.upeu.edu.pe:20.500.15037/2842 |
| institution | UPeU |
| language | English |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | Elsevier B.V. |
| publisherStr | Elsevier B.V. |
| record_format | dspace |
| spelling | oai:cris.upeu.edu.pe:20.500.15037/28422026-10-30T17:09:31ZLoRaWAN-based system for multivariate data acquisition in high Andean agricultureQuea Lopez, GodofredoCondori Coaquira, Angel RosendoOtazu Luque, Jorge EddyGutierrez Quispe, EderLoRaLoRaWANHigh Andean areasIoTHigh-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.Article10.1016/j.atech.2025.1015692-s2.0-105024138245https://hdl.handle.net/20.500.15037/2842enSmart Agricultural TechnologySmart Agricultural Technology2772-3755Elsevier B.V.2025-10-252026-06-27T02:34:14Z2026-06-27T02:34:14Z |
| spellingShingle | LoRa LoRaWAN High Andean areas IoT Quea Lopez, Godofredo Condori Coaquira, Angel Rosendo Otazu Luque, Jorge Eddy Gutierrez Quispe, Eder LoRaWAN-based system for multivariate data acquisition in high Andean agriculture |
| title | LoRaWAN-based system for multivariate data acquisition in high Andean agriculture |
| title_full | LoRaWAN-based system for multivariate data acquisition in high Andean agriculture |
| title_fullStr | LoRaWAN-based system for multivariate data acquisition in high Andean agriculture |
| title_full_unstemmed | LoRaWAN-based system for multivariate data acquisition in high Andean agriculture |
| title_short | LoRaWAN-based system for multivariate data acquisition in high Andean agriculture |
| title_sort | lorawan based system for multivariate data acquisition in high andean agriculture |
| topic | LoRa LoRaWAN High Andean areas IoT |
| topic_facet | LoRa LoRaWAN High Andean areas IoT |
| url | https://hdl.handle.net/20.500.15037/2842 |
| work_keys_str_mv | AT quealopezgodofredo lorawanbasedsystemformultivariatedataacquisitioninhighandeanagriculture AT condoricoaquiraangelrosendo lorawanbasedsystemformultivariatedataacquisitioninhighandeanagriculture AT otazuluquejorgeeddy lorawanbasedsystemformultivariatedataacquisitioninhighandeanagriculture AT gutierrezquispeeder lorawanbasedsystemformultivariatedataacquisitioninhighandeanagriculture |