Abstract:
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According to the latest data collected by the government of Spain, the bovine sector accounts for 5.9% of the Production of the Agrarian Branch and 16.7% of the Final Livestock Production. With an approximate census of 6 million heads and a number of farms that decreases year after year. There are two types of livestock activities: Intensive livestock farming, where livestock are overfed, in small spaces, without freedom of movement in an artificial environment, also causing environmental problems. On the other hand, extensive livestock farming, where livestock take advantage of natural resources, is free to satisfy their needs while contributing to maintain a sustainable environment. The biggest problem of extensive cattle ranching is to exercise control over livestock in environments where the terrain is a difficulty, due to the relief or surface, making the detection of sick, injured or calving animals an arduous task, by the rancher. The initial project consists of the implementation of sensors in the cattle and their subsequent sending of data, which will be collected by an unmanned aerial vehicle. In order to increase productivity and promote sustainable livestock, this solution is developed in order to facilitate the detection process with the help of drone technology. In this document the first design of this one is analyzed, studying the adopted solution and making an assessment for a new optimized version, identifying and solving the defects of it and maintaining its virtues. |