AI COULD IMPROVE WELFARE OF FARMED CHICKENS BY LISTENING TO THEIR SQUAWKS
Researchers at the City University of Hong Kong have developed a tool to automatically identify distress calls from recordings of intensively farmed chickens. The tool was trained using recordings that had already been manually classified by human experts, to determine which type of sound they represented. The algorithm correctly identified 97% of distress calls with 97% accuracy. A similar approach could eventually be used to drive up welfare standards in other farmed animals.
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