D4Dairy

New technologies are revolutionising the dairy industry. In addition to breeding achievements in genomics, information and communication technologies (e.g. Internet of Things, sensor technology) are also finding their way into modern dairy herds. Instead of punctual measurements, sensors record the well-being of the animals in real time or stream current stable conditions. The large amounts of data generated by monitoring ("big data") promise completely new insights into animal health. Digitalisation is a great opportunity, but also a great challenge for the agricultural and food industry. The transdisciplinary, cross-industry COMET project D4Dairy has set itself the goal of further developing digitally supported management for dairy farms that contributes to further improvements in animal health, animal welfare and product quality through data-supported and integrated information systems.

Digitalisation: Optimisation of dairy industry production processes along the value chain with the exploitation of new digital possibilities.

Data integration: Integration of farm data (central cattle database system (RDV), sensors, feeding, housing climate etc.) and further integration of external data (e.g., slaughter data) with the aim of developing meaningful herd management tools for prevention and production control, quality assurance and workload reduction.

Detection: The application of new statistical approaches (big data analyses), novel devices (sensors, automatic feeding system) and detection methods (infrared spectra of milk, resistance analyses) enables risk factors and informative parameters to be investigated and derived for early detection of diseases and/or proper treatment.

Decision support: Data-based decision-support tools are developed, e.g., whether or not an animal should be dried off with antibiotics. Data on the pathogen status at the farm, disease history of the animal, environmental factors etc. are processed electronically and a proposal—e.g., for veterinarians—is prepared.

Expected Benefits:
• Data exchange (uniform standards,...) - Interoperability of the systems! Only enter data once (calving date, insemination date, etc.)!
• New findings on the development and prevention of diseases
• Simple and meaningful tools for farmers from the large amount of data
• New and better parameters for breeding - higher heritability
• Better tools for early detection of diseases and optimization of herd management (feeding,..)
• Monitoring and improvement of product quality
• Improving the environmental impact through resource savings
• Improving animal health and welfare
• Efficiency gains and improved sustainability

Consortium leader: ZuchtData, Dr. Christa Egger-Danner

Referenzkunden

D4Dairy consortium partners
In order to tackle these complex and interdisciplinary challenges, D4Dairy is building an internationally competitive, transdisciplinary network of universities, competence centres and research institutes in Austria and abroad, as well as companies along the milk value chain (farmers, breeding organisations, milk processors, animal health services, interest groups, etc.) and - last but not least - national and international technology providers (sensors, feeding, housing climate measurement, data processing). The consortium consists of 31 company partners and 13 scientific partners.

Schlagworte

Website

https://d4dairy.com/