Chinese farm uses facial recognition tech to stop goats getting incestuous
These images show how a farm in Shanghai is developing facial recognition technology for goats to stop them having sex with their relatives.
The cameras have reportedly been specifically designed to recognise the facial characteristics of the goats, as well as their behaviour, exercise patterns and even their body shape, according to the South China Morning Post.
The identification will reveal which goats are relatives of others, and prevent incestuous relationships resulting in fewer birth defects and other problems from inbreeding.
The cameras are also said to be able to recognise disease symptoms such as sore mouth, the common name for Contagious ecthyma, which is a viral disease that affects goats and sheep and causes scabs as well as dermatitis pustules.
The ecological Vert City Farm is based in the eastern Chinese coastal city of Shanghai. It is the country’s biggest city and has a reputation for global finance and innovation.
The farm has reportedly been working on the technology since 2019 and is planning to start using it sometime next year.
The idea is to improve efficiency, with Huang Zhen, who is the chairman of the board at Vert City Farm, quoted by the South China Morning Post as saying: ‘The cameras can also recognise symptoms of diseases, including sore mouth and diarrhoea.’
He added: ‘It uses infrared to measure their body temperature and would alert the farm vets if a goat’s temperature rises above 40 degrees Celsius.’
The technology can also be used to prevent incest between the goats, with the newspaper reporting that the facial recognition technology will be able to help avoid inbreeding.
It is also reported that the technology will be able to determine whether or not a goat is pregnant so that vets can prepare for the birth.
The government of the Shanghai district of Chongming is reported as saying that approximately 1,000 goats have had chips been implanted in them so that the AI can gather further data about their behaviour.
This is so that they can test computer prediction models as the technology is developed.