Fully Automated Dairy Farm with Robots and AI to Be Established in Jeollabuk-do | Be Korea-savvy

Fully Automated Dairy Farm with Robots and AI to Be Established in Jeollabuk-do


At an event, children are experiencing milking a dairy cow.

At an event, children are experiencing milking a dairy cow.

JEONJU, Aug. 11 (Korea Bizwire) — A fully automated dairy farm powered by robots and artificial intelligence (AI) is set to be established in Jeollabuk-do, South Korea.

The Jeollabuk-do Livestock Research Institute announced on Monday that it will launch the “Robot and AI-based Animal Welfare Future Farm and Joint Research Project,” aiming to revolutionize dairy farming with cutting-edge technology.

The project will involve the renovation of a Hanwoo cattle barn into a smart dairy farm that integrates information and communication technology (ICT) with animal welfare standards. The farm will focus on raising Jersey cows, a breed known for its brown coat and high-quality milk production.

Scheduled to begin construction in November and complete by April next year, the farm will feature a range of state-of-the-art facilities, including a “free-stall” barn for cows that ensures freedom and rest, a milking room, liquid fertilizer storage tanks, an educational training space, and an exercise area.

Additionally, the farm will gradually incorporate automated systems such as automatic feed dispensers, calf feeders, robotic milking machines, manure cleaners, and forage robots, all designed to optimize efficiency and animal welfare throughout the cows’ life cycle.

The future farm will also serve as a training hub, offering six specialized educational courses in dairy farming management, Jersey breeding techniques, and low-carbon livestock practices to foster the next generation of dairy experts.

Min Seon-sik, Director of the Department of Agriculture, Livestock, and Rural Development, emphasized that the future farm will be a new model for sustainable and technologically advanced farming, combining production, education, and research into a unified platform.

Ashley Song (ashley@koreabizwire.com) 

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