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Niedersächsisches Ministerium für Ernährung, Landwirtschaft und Verbraucherschutz
Lower Saxony and Bremen
Calenberger Straße 2
30169 Hannover
Website: External link to the authority
Animal welfare early warning and controlling in broiler breeding AniWeb
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.
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.
Rural development 2014-2020 for Operational Groups (in the sense of Art 56 of Reg.1305/2013)
Institut Querfeld Group GbR
Alenconerstraße 30
49610 Quakenbrück
Phone: 05431/9263613
Email: cgm@querfeldgroup.de
2020
completed
488,322