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A Smart Farm Will Be Realized Where Artificial intelligence Raises Chickens.

2018. 05. 25.

■ ‘Improving Productivity and Detecting Infectious Diseases with A Deep Learning Camera’

LG Innotek has announced that it plans to develop ‘Artificial Intelligence Smart Farm Technology’, which will make it possible to implement an unmanned poultry farm, together with the National Institute of Animal Science (NIAS) of the Rural Development Administration. LG Innotek and the NIAS agreed that it is necessary to have an efficient and specialized stockbreeding system to enhance the competitiveness of the poultry industry and promote the welfare of farmers.

The two sides signed a memorandum of understanding on the development of a smart farm technology for poultry at the NIAS in Wanju-gun, Jeollabuk-do, South Korea, on April 21th, attended by LG Innotek Chief Technology Officer (CTO) Il-gun Kwon, Director of the NIAS Chang-bum Yang, and Director of the Poultry Research Center Honggil Moon.

■ LG Innotek and the NIAS to Develop Unmanned Poultry Farm Management Technology to Improve Productivity

LG Innotek and the NIAS will develop artificial intelligence smart farm technology to realize unmanned poultry farm management that will increase productivity. They will combine the deep learning technology using poultry big data with the camera sensing technology to achieve this goal.

When this smart farm technology is developed, the cameras and various sensors will automatically detect the environmental changes such as the condition of the chickens and the weather, and the artificial intelligence technology will automatically control the temperature and humidity of the poultry farm. It is also possible to predict the time of shipment to the market by analyzing the development status of the chickens.

To this end, the NIAS will be responsible for the analysis of chicken behaviors for each developmental stage, which can be used as identification criteria for the conditions of the chickens, as well as for the development of relevant criteria. LG Innotek will develop a measurement system, which consists of cameras and temperature and humidity sensors, as well as a deep learning algorithm that identifies suspected disease symptoms based on the standardized information provided by the NIAS.

LG Innotek plans to enhance the technological completeness to the level applicable to the actual poultry farms by 2020. Currently, LG Innotek has secured the base technologies such as object recognition technology using a network camera and abnormal motion detection algorithm for chickens.

■ Early Disease Prevention Measures to Minimize Poultry Damage due to an Epidemic

This artificial intelligence smart farm technology can also be used to reduce the damage to the poultry farms due to an epidemic. If a chicken managed by a smart farm shows signs of infection, the technology can promptly inform the poultry farmers of its status and location, allowing them to carry out disease prevention measures quickly.

In the case of large poultry farms, tens of thousands of chickens are raised together and therefore are very vulnerable to infectious diseases such as the highly pathogenic avian influenza (HPAI). It is very difficult to visually identify one or two chickens suspected of infection, and no specific countermeasures are carried out until it is reported to the relevant agency by the farm.

In fact, 33.14 million chickens and ducks were buried underground at 821 farms in South Korea within three months due to the HPAI that occurred in November 2016. The amount of property damage at the time reached about 1 trillion KRW.

Il-gun Kwon, LG Innotek CTO, said, “What we pursue is to make our lives safer and more convenient with innovative technologies.” He also said, “Artificial intelligence smart farm technology will be a solution to innovate our country’s agriculture and stock-breeding industry and promote the welfare of farmers.”