Database of a Multi-Parameter Remote Monitoring System for the State of Livestock Herds and Feed Supply in Large-Area Pastures
Abstract
The increase in demand for agricultural products in recent years requires the introduction of modern, innovative, advanced technological solutions in the livestock sector. In particular, monitoring the movement of livestock in large pastures, assessing their health, and taking effective management measures is a complex task. Traditional methods, however, require a lot of time and effort in these processes and limit the possibility of constant monitoring of animal activity. For this reason, the use of ICT and sensing devices is considered an important tool in the digitalization of livestock farming. In particular, with the help of devices such as GPS, RFID, and IoT, it is possible to track the movement of livestock, optimize and predict the use of pasture resources, and develop strategies adapted to climatic conditions. Modern monitoring systems play an important role not only in monitoring the health and activity of individual animals, but also in ensuring the behavior of entire herds and ecological balance. The research focuses on the identification of livestock, tracking their movement via GPS, tracking their trajectories, analyzing the impact of climatic factors, and integrating the collected data into a unified information system. This approach allows livestock farms to make quick decisions, rationally use resources, and increase production efficiency. The influence of climatic conditions (temperature, humidity, precipitation) on pasture resources and livestock movement was also studied. Based on the research results, it is proposed to develop a system for monitoring cattle on large-scale pastures that are difficult for humans to observe, which will contribute to resource conservation and the adoption of appropriate measures in accordance with climate change.