Researchers in Japan are working on artificial intelligence to reduce the effects of water and air pollution from fish feed on the creation of methane. Professor Yasu Kobayashi of Graduate School of Ecology at Hokkaido University is leading this mission, with the goal of reducing methane emissions by 80% by 2050.
Methane is produced when the existing bacteria and other organs in the fish\’s stomach are broken down. There are four types of components in the fish feed, which are combined with up to 7,000 bacteria types to digest the food in the stomach.
According to Naokashi Betsu, head of the Hokkaido Research Center, data shows that the greenhouse gas effect of the methane released from the fish feed is 25 times higher than carbon dioxide. Previous research has also shown that when the extracted oil is mixed into the fish feed, instead of being converted into food, it is converted into a highly effective propionic acid, which reduces greenhouse gas emissions by up to 20%.
The research team, which includes the National Ecology and Food Research Organization and the National Institute of Technology, is now looking for oils and vegetables to make feeds that can reduce emissions and be more effective. The system proposed will eventually use AI to analyze data and provide the best feed for reducing methane emissions.
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