Another project with AKI participation – ET4D

(Photo: Pixabay)

To this end, the project plans to expand and validate an existing data management system (AMR) that includes sensory sensors. The possibilities of incorporating data from other types of sensor systems into the system are also examined, as well as the potential applicability of a simplified sensor system for small farms. The new system is being tested in several countries, i.e. in dairy cattle barns operating under different technological, climatic and socio-economic conditions, after surveying the selected farms and improving the quality of the Internet connection. The expectations and information needs of the potential data users of the milk value chain are studied using social science methods. A scoring methodology is developed for AMR’s data filtering and aggregation algorithms to extract relevant information. Finally, by developing a modular web application, the information obtained with AMR is made available tailored to the needs of interest groups.

AKI participates in the testing and development of the AMR system by selecting a domestic milk-producing dairy farm, as well as in the planning and implementation of social science studies assessing the information needs of potential data users of the milk value chain.
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