Usage of multi-sensory MESH networks in monitoring the welfare of livestock
¹ Czech University of Life Sciences Prague (CULS), Faculty of Engineering, Department of Technological Equipment of Buildings, Kamýcká 129, CZ165 21 Prague, Czech Republic
² Czech University of Life Sciences Prague (CULS), Faculty of Engineering, Department of Vehicles and Ground Transport, Kamýcká 129, CZ165 21 Prague, Czech Republic
The trend of monitoring the welfare of livestock is continually developing at the moment. This monitoring leads to the optimization of the needs of livestock, which improves their final outputs. In terms of dairy cows, improvements in their living conditions may have a considerable impact on their productivity and the quality of their milk. Countless indicators such as temperature, humidity, how often they drink or eat, and many other parameters can be monitored. Specific measurements always depend on an initial hypothesis that is determined on the basis of specific problems. The main question still remains regarding how to measure selected variables, particularly how to transfer these outputs so that they can be easily processed. It is this issue that leads to the use of MASH multi-sensory networks.