LoRaWAN-based system for multivariate data acquisition in high Andean agriculture
Year: 2025
Type: article
Abstract: 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.
Source: Smart Agricultural Technology
Authors: Godofredo Quea Lopez, Angel Rosendo Condori Coaquira, Jorge Eddy Otazu Luque, Eder Gutierrez Quispe
Institution: Universidad Peruana Unión
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $1,770
OpenAlex ID: W4415547665