π· AI interprets pig sounds to improve their well-being
A team of researchers has developed an AI algorithm that can translate different pig sounds into emotional states. The algorithm can distinguish between positive and negative emotions in pigs by analyzing their grunts, screams, and other sounds.
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- A team of European researchers has developed an AI algorithm that can translate different pig sounds into emotional states.
- The algorithm can distinguish between positive and negative emotions in pigs by analyzing their grunts, screams, and other sounds.
- The technology can help farmers improve animal welfare through a mobile app that translates pig communication.
Researchers from six countries behind new technology
An international research team has developed an AI algorithm that can interpret different pig sounds. The researchers have analyzed thousands of recorded sounds from pigs in various situations, such as when they're playing, when they're isolated, and when they're competing for food, reports Reuters.
Short grunts often signal positive emotions in pigs, while long grunts may indicate discomfort, for example when pigs crowd during feeding. High-frequency sounds like screams indicate stress, which can occur during pain, fights, or when pigs are separated from each other.
AI technology plays a crucial role in the project by handling and classifying the large amount of sound data collected. This enables automatic and efficient analysis of pig communication.
Outdoor pigs show fewer signs of stress
The study showed that pigs kept outdoors on organic farms, where they can root and move freely, produce fewer stress sounds compared to pigs in conventional farming. This information can be used to label farms and help consumers make informed choices.
Many farmers already have a good understanding of their animals' well-being through observation, but this technology offers a new tool that complements the physical measurement methods used today.
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