EIP Project Database

Find EIP-AGRI projects in Germany

You can find projects by searching for:

  • "Suchbegriff" = Search item, like "pig", "animal welfare" or "climate" ...
  • "Bundesland" = Federal states in Germany, you can also have a look on the map on the bottom of this page
  • "Projektstatus" - "laufend" oder "abgeschlossen" = ongoing or completed status
  • "Schlüsselwörter" = key words
  • "Starttermin" = project start

Animal welfare early warning and controlling in broiler breeding AniWeb

Authority

Niedersächsisches Ministerium für Ernährung, Landwirtschaft und Verbraucherschutz

Federal State

Lower Saxony and Bremen

Contact

Calenberger Straße 2
30169 Hannover

Website: External link to the authority

Project Title

Animal welfare early warning and controlling in broiler breeding AniWeb

Project description

In recent decades, production on farms has been considerably expanded. Due to the specialisation of individual farm branches, livestock numbers have increased significantly. Especially in broiler breeding it is no longer possible for the farmer to observe individual animals. In view of increasing expectations, especially in livestock farming, automated monitoring systems have an enormous potential. In the project "AniWeb" an indicator-based early warning system is being developed which can detect the behaviour of animals even in large herds and which triggers an "alarm" in case of conspicuous behaviour. The continuous observation of the animals not only supports the farmer in recognizing different behavioral patterns, but also gives him the possibility to initiate countermeasures at an early stage. One component of the project is to test the potential of neural networks and artificial intelligence with regard to their application in livestock housing. To what extent can these technologies support or even replace the eyes and ears of a farmer.

Results focusing on practiceorientation

In this project, an advanced Artificial Intelligence (AI) was successfully developed and applied to efficiently identify, track, and count broiler chickens in individual images. Through careful selection and adjustment of training data, network architectures, and hyperparameters, high accuracy and reliability of the model were ensured. Special emphasis was placed on analyzing chickens in a specific stage of life. Furthermore, a
customized AniWeb app was developed, which visualizes the results of the AI model in a clear and user-friendly form. It allows farmers to monitor the behavior and distribution of their chickens and alerts when deviations from the standard distribution of the chicken population occur. These useful features assist farmers in quick and informed decision-making, leading to a significant improvement in the efficiency of their
operational processes.

Key words

  • Animal husbandry
  • animal welfare
  • Digitalisation, incl. data and data technologies

Main funding source

Rural development 2014-2020 for Operational Groups (in the sense of Art 56 of Reg.1305/2013)

OG contact information

Institut Querfeld Group GbR
Alenconerstraße 30
49610 Quakenbrück

Phone: 05431/9263613

Email: cgm@querfeldgroup.de

Type of OG partners

  • Farmer
  • Advisor
  • Researcher
  • Industry

Begin of project

2020

Project status

completed

Total budget applied for in EUR

488,322

Link 1

project website of EIP Lower Saxony

NUTS3 CODE

DE94E

To top