Developing new solutions for cattle farming together
RDV GmbH participates directly or through its shareholders in numerous national and international research and development projects that bring science and agricultural practice together – for data-based innovations in cattle farming.
Discover projects ↓
The RDV’s role in research projects
The RDV contributes comprehensive data infrastructure, technical expertise, consulting experience and relevant practical knowledge to joint research projects.
Provide data and interfaces
The RDV provides secure data and standardized interfaces for research purposes.
Develop digital applications
Research findings are turned into practical digital tools that can be used in everyday farm work.
Connect research and practice
As a link between science and agriculture, the RDV ensures that scientific findings reach practical application.
Current research projects
The RDV is involved in these and other projects through its shareholders – as a data provider, technology partner or developer of practical solutions.
HoliCow
Comprehensive health monitoring for dairy cows
HoliCow
Comprehensive health monitoring for dairy cows
HoliCow is a European project to further develop sustainable and future-proof dairy farming. It focuses in particular on improving animal health and welfare and strengthening the competitiveness and sustainability of farms.
https://holicow.nweurope.eu/Providing the data infrastructure, integrating sensor data into the RDV platform and developing practical analysis modules.
IQ-Expert
Intelligent quality assurance in milk production
IQ-Expert
Intelligent quality assurance in milk production
IQ-Expert was a research project to improve udder health and develop animal-specific support for selective dry-off in order to reduce antibiotic use. Since the end of the project, farmers have had access to a finished decision-support module in RDV Herd Manager.
Data provision from the central database, interface development and integration of the results into existing applications.
InnoKalb
Innovative calf health through data-based early detection
InnoKalb
Innovative calf health through data-based early detection
The InnoKalb project aims to improve calf management through the systematic collection and consolidation of animal and health data. The goal is to develop practical data-entry and analysis options for calves in RDV Herd Manager.
Providing health and performance data from the RDV database and technical support for data analysis.
ResKuh
Resilience and sustainability in dairy farming
ResKuh
Resilience and sustainability in dairy farming
The German-French ResKuh project helps farms adapt to the effects of climate change and strengthen their resilience. It focuses, among other things, on water, grassland and energy management, reducing greenhouse gases, animal welfare and heat stress.
Consolidation of performance, health and pedigree data from different regions and systems.
Mil-KI
Artificial intelligence in dairy farming
Mil-KI
Artificial intelligence in dairy farming
The Mil-KI project aims to develop AI-supported tools for analyzing and linking diverse data from dairy farming. The goal is to support farmers in management, breeding and health decisions and thereby improve animal welfare, economic efficiency and sustainability.
Data provision, prototype development and transfer of the results into the RDV application landscape.
CEADS
European agricultural data space
CEADS
European agricultural data space
This project aims to create a European data space for securely connecting existing data sources and platforms in agriculture. Shared standards and rules enable controlled data exchange across national borders and create new opportunities in data analysis, animal husbandry and breeding.
https://ceads.eu/
Completed projects
HoliCow
Comprehensive health monitoring for dairy cows
HoliCow
Comprehensive health monitoring for dairy cows
HoliCow is a European project to further develop sustainable and future-proof dairy farming. It focuses in particular on improving animal health and welfare and strengthening the competitiveness and sustainability of farms.
https://holicow.nweurope.eu/Providing the data infrastructure, integrating sensor data into the RDV platform and developing practical analysis modules.
IQ-Expert
Intelligent quality assurance in milk production
IQ-Expert
Intelligent quality assurance in milk production
IQ-Expert was a research project to improve udder health and develop animal-specific support for selective dry-off in order to reduce antibiotic use. Since the end of the project, farmers have had access to a finished decision-support module in RDV Herd Manager.
Data provision from the central database, interface development and integration of the results into existing applications.
InnoKalb
Innovative calf health through data-based early detection
InnoKalb
Innovative calf health through data-based early detection
The InnoKalb project aims to improve calf management through the systematic collection and consolidation of animal and health data. The goal is to develop practical data-entry and analysis options for calves in RDV Herd Manager.
Providing health and performance data from the RDV database and technical support for data analysis.
ResKuh
Resilience and sustainability in dairy farming
ResKuh
Resilience and sustainability in dairy farming
The German-French ResKuh project helps farms adapt to the effects of climate change and strengthen their resilience. It focuses, among other things, on water, grassland and energy management, reducing greenhouse gases, animal welfare and heat stress.
Consolidation of performance, health and pedigree data from different regions and systems.
Mil-KI
Artificial intelligence in dairy farming
Mil-KI
Artificial intelligence in dairy farming
The Mil-KI project aims to develop AI-supported tools for analyzing and linking diverse data from dairy farming. The goal is to support farmers in management, breeding and health decisions and thereby improve animal welfare, economic efficiency and sustainability.
Data provision, prototype development and transfer of the results into the RDV application landscape.
CEADS
European agricultural data space
CEADS
European agricultural data space
This project aims to create a European data space for securely connecting existing data sources and platforms in agriculture. Shared standards and rules enable controlled data exchange across national borders and create new opportunities in data analysis, animal husbandry and breeding.
https://ceads.eu/
From the question to practical application
Define the question
Together with research partners, a practice-relevant question is identified and a project framework is defined.
Bring together data and expertise
Relevant data sources are developed and combined with the expertise of the project partners.
Develop and test the solution
Prototypes and models are developed, tested under practical conditions and improved iteratively.
Transfer results into practice
Successful results are integrated into existing RDV applications and made accessible to farms.