Frost prevention for better livestock care with the use of software and solar panels
Abstract
The central region of Ecuador faces persistent challenges in cattle production due to extremely low temperatures, locally known as frost, which threaten livestock health, productivity, and overall welfare. Farmers traditionally rely on empirical mitigation practices; however, these methods lack scientific validation and often provide limited protection against cold-related losses. To address this issue, a technological prototype was developed to monitor frost-associated environmental variables and deliver actionable information for improved decision-making in livestock management. The system integrates sensors that record temperature, humidity, and wind speed in real time, enabling continuous and accurate environmental surveillance. The software generates automated early warnings that allow farmers to relocate or shelter livestock, adjust feeding strategies, and intensify preventive health monitoring. Parameterized thresholds improve the precision and usefulness of alerts, while the integration of solar-powered operation ensures sustainability, energy autonomy, and stable performance in remote high-altitude areas with restricted access to conventional electricity. From a methodological perspective, the prototype was developed using an agile software engineering approach that incorporated iterative design, sensor integration, and field-based validation with local livestock producers. This innovation represents a significant advancement in technological livestock management under extreme climatic conditions. By combining environmental monitoring, intelligent alert mechanisms, and renewable-energy operation, the system strengthens the resilience of cattle production to frost events and supports timely protective actions for farmers exposed to increasingly variable climatic patterns. Ultimately, the prototype safeguards animal health, reduces productivity losses, enhances resource efficiency, and promotes the adoption of more sustainable, reliable, and climate-adaptive livestock practices throughout central in Ecuador.
Fields of Study & Subjects
Smart Agriculture and AI
Effects of Environmental Stressors on Livestock
Arduino and IoT Applications
Publication details
- Journal / source
- Multidisciplinary Science Journal
- Volume
- 8
- Pages
- 2026619–2026619
- Publication date
- 2 March 2026
- Language
- EN