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Risk prediction of animal welfare indicators based on the data network of the official milk recording in Bavaria (RiskFiT)

Project

Risks

This project contributes to the research aim 'Risks'. Which funding institutions are active for this aim? What are the sub-aims? Take a look:
Risks


Project code: A/20/16
Contract period: 01.02.2021 - 31.01.2024
Budget: 274,871 Euro
Purpose of research: Applied research
Keywords: fitness, animal welfare, digitalization, networking

The improvement of animal health, welfare, and fitness is fundamental for resource-efficient and sustainable livestock farming. The great density of animal individual data, especially originating from the official milk recording, offers the chance for early warning systems with regard to animal health, fitness, and welfare. The main objective of this project is the development of risk prediction models and the action recommendations derived from these based on statistic models integrating as many animal individual but also farm-related (sensor-)data sources.

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