TY - CONF
T1 - Connectivity for IoT solutions in integrated dairy farming in Germany
AU - Treiber, Maximilian
AU - Höhendinger, Martin
AU - Rupp, Harald
AU - Schlereth, Natascha
AU - Bauerdick, Josef
AU - Bernhardt, Heinz
N1 - Publisher Copyright:
© 2019 ASABE Annual International Meeting. All rights reserved.
PY - 2019
Y1 - 2019
N2 - Farm Management Information Systems and Wireless Sensor Networks can help German dairy farmers cope with rising complexity, documentation and animal health requirements. However, review and expert interviews with German farmers show that available solutions mostly are standalone systems. They lack compatibility with other technologies like already existing Information Systems and automation technology in dairy stables (e.g. climate-control, energy management or robotic milking). Farmers and researchers wish for a solution that integrates sensor systems, the control of actuators and existing information systems on dairy farms into one central information- and control-system. Moreover, an option to provide customized user interfaces to different stakeholders is required. This research shows, that a digital broker model as middleware offers manufacturer-independent opportunities to integrate existing information systems, wide arrays of different sensors and data transmission technologies. It further takes care of data management issues. The example of the TUM dairy research farm is shown, where a broker model is being implemented for research and teaching. Results show, that a broker model is a powerful tool to overcome most compatibility and connectivity issues and provides the desired solutions. However special aspects regarding connectivity must be taken into consideration on a dairy farm. Different transmission technologies are needed for different tasks, as a dairy farm offers very diverse conditions for IoT technology implementation. Customized user interfaces can be provided. Research is necessary regarding regulatory issues, and manufacturers need to be won over by the benefits of these systems, so that an integration of their technologies is facilitated.
AB - Farm Management Information Systems and Wireless Sensor Networks can help German dairy farmers cope with rising complexity, documentation and animal health requirements. However, review and expert interviews with German farmers show that available solutions mostly are standalone systems. They lack compatibility with other technologies like already existing Information Systems and automation technology in dairy stables (e.g. climate-control, energy management or robotic milking). Farmers and researchers wish for a solution that integrates sensor systems, the control of actuators and existing information systems on dairy farms into one central information- and control-system. Moreover, an option to provide customized user interfaces to different stakeholders is required. This research shows, that a digital broker model as middleware offers manufacturer-independent opportunities to integrate existing information systems, wide arrays of different sensors and data transmission technologies. It further takes care of data management issues. The example of the TUM dairy research farm is shown, where a broker model is being implemented for research and teaching. Results show, that a broker model is a powerful tool to overcome most compatibility and connectivity issues and provides the desired solutions. However special aspects regarding connectivity must be taken into consideration on a dairy farm. Different transmission technologies are needed for different tasks, as a dairy farm offers very diverse conditions for IoT technology implementation. Customized user interfaces can be provided. Research is necessary regarding regulatory issues, and manufacturers need to be won over by the benefits of these systems, so that an integration of their technologies is facilitated.
KW - Agriculture 4.0
KW - Digital Transformation
KW - Precision Livestock Farming
KW - Smart Farming
KW - Wireless Sensor Networks
UR - http://www.scopus.com/inward/record.url?scp=85084017843&partnerID=8YFLogxK
U2 - 10.13031/aim.201900561
DO - 10.13031/aim.201900561
M3 - Paper
AN - SCOPUS:85084017843
T2 - 2019 ASABE Annual International Meeting
Y2 - 7 July 2019 through 10 July 2019
ER -