[Daedeok Innopolis News] Utilizing an 800㎡ experimental site at Jeju National University Continuous monitoring of carbon dioxide and ammonia concentrations
Researchers at the Electronics and Telecommunications Research Institute (ETRI) discuss optimization measures for an intelligent decision-making system based on environmental data from pig farms. Courtesy of ETRI
The Electronics and Telecommunications Research Institute (ETRI) announced on the 5th that, in cooperation with Jeju Province, it has built a smart livestock demonstration environment incorporating advanced artificial intelligence technology to respond to the climate crisis and has begun full-scale development of a carbon-neutral livestock model based on this.
Currently, livestock farming is regarded as a sector in urgent need of technological approaches for carbon neutrality, as it has a high share of greenhouse gas emissions such as methane and nitrous oxide generated from animal digestion and manure treatment. The research team has created a testbed of about 800㎡ on an experimental site at Jeju National University and plans to verify, using real on-site data, a target of reducing carbon emissions by more than 10% compared with existing levels.
Key facilities include a monitoring sensor system that continuously measures temperature, humidity, and concentrations of carbon dioxide and ammonia; an edge-operation-based environmental control system that processes data immediately on site; a closed-circuit (CC)TV video-based abnormal behavior detection system for livestock; and an artificial intelligence (AI)-based carbon reduction operation algorithm and intelligent decision-making system.
The research team designed the system so that composite data collected from sensors and CCTV installed throughout the pigsty can be analyzed in real time. By applying edge technology, data are processed immediately on site without being sent to a remote server, enabling rapid response without delay to environmental changes or emergencies inside the pigsty. Based on the data and carbon reduction models secured through this testbed, the team plans to propose a “standard carbon-neutral livestock facility operation model” that can be applied to pig farms nationwide in the future.
Kim Gyu-hyung, head of the Jeju AX Convergence Research Department at ETRI, said, “Through a system in which AI independently assesses and controls the pigsty environment, we will clearly demonstrate the actual carbon reduction effect,” adding, “We will further develop this into a standard carbon-neutral model for the agricultural and livestock sector.”
Lee Jeong-hoon
AI-translated with ChatGPT. Provided as is; original Korean text prevails.
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