인피니언 8월20일부터
This page was machine-translated and may differ from the original. View original

From increased productivity to epidemic detection, "smart poultry farms" are on the horizon.

Google 우선 소스Published2018.05.23 15:32
LG Innotek and the National Institute of Animal Science signed an MOU to automate poultry farming.

LG Innotek announced that it will collaborate with the National Institute of Animal Science (Rural Development Administration) to develop "AI-powered smart farm technology" to automate poultry farming environments. Both companies agreed that efficient and specialized breeding systems are necessary to enhance the competitiveness of the poultry industry and improve farm welfare.

The two sides signed a memorandum of understanding (MOU) on joint research on the development of smart poultry farm technology at the National Institute of Animal Science in Iseo-myeon, Wanju-gun, Jeollabuk-do, with LG Innotek CTO Kwon Il-geun, National Institute of Animal Science President Yang Chang-beom, and Poultry Research Institute Director Moon Hong-gil in attendance.

Development of "unmanned feed management technology" to revolutionize poultry productivity

LG Innotek and the National Institute of Animal Science are developing AI-powered smart farm technology aimed at improving poultry productivity through unmanned livestock management. This effort will integrate deep learning technology utilizing poultry big data and camera sensing technology.

Once this smart farm technology is developed, cameras and various sensors will automatically analyze the condition of tens of thousands of chickens and environmental changes, including weather. Artificial intelligence will then automatically control the temperature and humidity in the chicken farm. Furthermore, analysis of the chickens' developmental status will enable the prediction of shipping times.

To this end, the National Institute of Animal Science is responsible for research on behavioral analysis of chickens at each growth stage, which serves as an identification standard, and development of related standards. LG Innotek is developing a deep learning algorithm that identifies symptoms of suspected diseases based on a measurement system comprised of cameras and temperature and humidity sensors, as well as standardized information provided by the National Institute of Animal Science.

LG Innotek plans to perfect its technology to a level that can be applied to poultry farms by 2020. It currently has secured basic technologies, including object recognition technology using network cameras and an algorithm for detecting abnormal chicken movement.

Early quarantine is expected to minimize damage from poultry epidemics.

This AI-powered smart farm technology can also be used to reduce the impact of infectious diseases on poultry farms. If chickens managed on a smart farm show signs of infection, the farmer is immediately notified of the chicken's condition and location, enabling rapid quarantine measures.

Large-scale poultry farms house tens of thousands of birds, making them highly vulnerable to infectious diseases like highly pathogenic avian influenza (HPAI). Visually detecting even one or two suspected infected birds is extremely difficult, and until the farm reports the situation, there are no effective response measures.

In fact, the highly pathogenic avian influenza outbreak in November 2016 led to the culling of a total of 33.14 million chickens, ducks, and other animals from 821 farms across Korea within just three months. The damage to poultry farms and related industries, including direct and indirect costs, was estimated at 1 trillion won.

CTO Kwon Il-geun said, “Our goal is to make our lives safer and more convenient through innovative technologies,” and added, “AI smart farm technology will be a solution that will revolutionize our country’s agricultural and livestock industry and improve the welfare of farmers.”
본 기사에 대한 정정·반론·추후보도 청구는 보도 청구 안내를, 그간 게재된 보도문은 정정·반론보도 모아보기를 참고해 주세요.
김지혜 기자