Greifvogelerkennung und -abschreckung im Geflügelauslauf
Affordable techniques shall be developed to automatically detect approaching birds of prey and to prevent their attacks in chicken runs. In annotated recordings of birds over farms machine learning algorithms correctly detected 86.9% of birds of prey with an average of 0.08 false alarms per picture. Optical signals, appearing in case of approaches might be effective for deterrence
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