We use cookies on our website. Some are necessary for the operation of the website. You can also allow cookies for statistical purposes. You can adjust the data protection settings or agree to all cookies directly.
Data Protection Declaration
Imprint
Collaborative project: Innovative Data Science-based approach for health monitoring in calves and young cattle through targeted integration of practically relevant digital data and establishment of novel benchmarking parameters - subproject B (InnoKalb)
Project
Project code: 281C803B21
Contract period: 01.09.2023
- 31.08.2026
Budget: 389,951 Euro
Purpose of research: Applied research
Keywords: attle, digital world, Precision livestock farming, animal welfare, animal health, software, App, prevention
The aim of the project is to explore and develop new approaches for documenting and monitoring the health of calves and young cattle through the extension of the existing FokusMobil and LKV-Rind-App apps of the LKV NRW and BW, based on data-technological innovations. This will enable the use of additional biological performance indicators as future dairy cows or fattening animals, and could contribute to a longterm increase in awareness among milk producers regarding their young animals. By combining manually, automatically, and semi-automatically collected data on the calves with historical data on milk yield, breeding, and animal health, novel analysis and benchmarking parameters will be developed within the InnoKalb tool to support decision-making in calf management. The project also aims to improve communication between livestock farms in terms of animal welfare and health, and to create approaches for cooperation models. The project consists of nine work packages and will be implemented over a three-year project period.
Section overview
Subjects
- Animal Husbandry
Framework programme
Funding programme
Excutive institution
Funding institution
Project management agencies
Associated projects: InnoKalb
- Collaborative project: Innovative Data Science-based approach for health monitoring in calves and young cattle through targeted integration of practically relevant digital data and establishment of novel benchmarking parameters - subproject A
- Collaborative project: Innovative Data Science-based approach for health monitoring in calves and young cattle through targeted integration of practically relevant digital data and establishment of novel benchmarking parameters - subproject C
- Collaborative project: Innovative Data Science-based approach for health monitoring in calves and young cattle through targeted integration of practically relevant digital data and establishment of novel benchmarking parameters - subproject D
