The project began in October 2018 and is running until April 2022. The total budget is € 4,129,400, of which € 2,311,410 are funded by Interreg NWE program. The project counts 13 partners from 7 countries.
HappyMoo aims at enabling farmers, veterinarians and extended workers to evaluate the welfare of dairy cows.
This project is funded by Interreg North-West-Europe Program
In the highly competitive NWE dairy sector (60% of EU milk), animal welfare is an increasing concern for both consumers and authorities and is a cause of economic losses. In this framework, HappyMoo aims at providing dairy farmers, vets and extension workers a tool to monitor cows’ welfare and in particular the freedom from disease, hunger and stress. To achieve this, milk recording organizations (8), one IT-company, one pilot lab and research centres (3) are partners to build and design this tool, providing amounts of data and processing them via different statistical approaches. In particular, the possibility to use the mid-infrared spectrum of the milk to predict an impairment in those 3 freedoms will be investigated.
D4Dairy, an Austrian project coordinated by Zuchtdata aims to provide digital support to dairy management via a data-driven, networked information system, exploiting the potential of advanced technologies (mid-infra-red spectra, genome information, …) and advanced data analysis to further improve animal health, nutrition, animal welfare and product quality.
EMR EEIG is a company partner involved in data provision within the P2.2.: Disease Detection With Milk Spectral Data – Use of milk midinfrared spectroscopy to predict the health status of dairy cows.
This project began in October 2018 and will end up in September 2022.
Improving taste and flavour of dairy products (ITF –Milk)
The purpose of the project is to be able to predict milk flavour alterations via the MIR analysis of milk. To achieve this, samples will be collected in several European countries and will be analysed by gas chromatography for free fatty acids. These results will be compared to the MIR spectrum in order to find predictive equations.
EMR is a company partner, providing samples.
The project began in December 2019 and is running until end of November 2022.