• Proceedings of the Korea Information Processing Society Conference
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• 2022.11a
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• pp.737-739
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• 2022

본 논문은 스마트 축사의 공기/수질/토양 오염을 감시, 살균 및 청소할 드론과 로봇에 관한 연구이다. 서론에서는 서귀포시에서 최근에 개발되어 보급을 시작한 스마트 축사 시스템의 시범서비스와 바른전자의 사례를 통해서 시스템의 발전 방향과 문제점들을 분석한다. 본론에서는 차세대 스마트 축사의 전체 구성도와 서비스 구성표를 작성함으로써 연구개발의 방향을 모색하고, 인공지능, 빅데이터 분석, 드론, 로봇의 협동 방식의 스마트 축사를 구상하여 현존하는 스마트 축사 시스템의 문제점들을 보완하였다. 결론적으로, 본 논문은 차세대 스마트 축사의 환경오염과 자연생태계위협을 근원적으로 해결할 입체적인 감지정보처리 및 실시간으로 오염/전염병의 예방과 선제적 대응을 포함한, 축사에서 발생할 오염 및 전염병 사고/사건을 관할 당국에 신고하고 행정명령을 처리하는 ICT기반시설을 제안한다.

• Smart Media Journal
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• v.1 no.1
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• pp.53-57
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• 2012

Smart phone and its applications are currently bringing about significant changes in our lives and it is expected that applying such technology in the area of agriculture could increase the value added and productivity of agriculture with its various uses. This paper proposed a smartphone-based application for monitoring and managing livestock barn in real-time anytime, anywhere. In the proposed application, the livestock barn environment and video information collected in ubiquitous livestock barn based on wireless sensor networks can be used by user to monitor the livestock barn in real-time through the use of smart phone to control the livestock barn facilities anytime, anywhere. This application can provide user convenience and increase productivity by allowing users to control their livestock barn facilities.

• Smart Media Journal
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• v.12 no.10
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• pp.55-62
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• 2023

Innovation and change are occurring rapidly in the agriculture and livestock industry, and new technologies such as smart bams are being introduced, and data that can be used to control equipment is being collected by utilizing various sensors. However, there are various challenges in the operation of bams, and virtual sensor technology is needed to solve these challenges. In this paper, we define various data items and sensor data types used in livestock farms, study cases that utilize virtual sensors in other fields, and implement and design a virtual sensor system for the final smart livestock farm. MBE and EVRMSE were used to evaluate the finalized system and analyze performance indicators. As a result of collecting and managing data using virtual sensors, there was no obvious difference in data values from physical sensors, showing satisfactory results. By utilizing the virtual sensor system in smart livestock farms, innovation and efficiency improvement can be expected in various areas such as livestock operation and livestock health status monitoring. This paper proposes an innovative method of data collection and management by utilizing virtual sensor technology in the field of smart livestock, and has obtained important results in verifying its performance. As a future research task, we would like to explore the connection of digital livestock using virtual sensors.

• Smart Media Journal
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• v.13 no.2
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• pp.136-144
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• 2024

In recent years, with the rapid development of IT technology and the aging of the population, various solutions to the labor shortage have emerged. In the livestock industry, there are an increasing number of management systems that utilize artificial intelligence technology. The Metaverse Smart Farm is a system that combines the digital virtual world with advanced agricultural technology. With this system, farmers can monitor the health of their animals in real time without having to visit the barns, and analyze the data collected through sensors and cameras for more efficient agricultural management. In addition, the barn environment can be adjusted through a remote control function, which is expected to reduce labor and revitalize the livestock industry.

• Journal of the Institute of Convergence Signal Processing
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• v.23 no.3
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• pp.129-136
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• 2022

The most important part of the smart livestock building system is to maintain a breeding environment so that livestock can grow to high quality despite changes in the internal and external atmospheric environment. Especially, it is very important to maintain the temperature and humidity in the livestock building because various diseases occur during the summer and winter. To manage the environment suitable for livestock, a smartfarm system for livestock building is applied, but it is very expensive. In this study, we propose a hardware design and control method for low cost system based on HMI and fuzzy control. To evaluate the performance of the proposed system, we did a simulation experiment in the atmospheric conditions of summer and winter. As a result, it showed the performance of minimizing the temperature and humidity stress of livestock. And when applied to the livestock building, the proposed system showed stable control performance even in the change of the external atmospheric environment. Therefore, as with these results, if proposed system in this study is applied to the smart farm system, it will be effective in managing the environment of livestock building.

• KOREAN POULTRY JOURNAL
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• v.50 no.8
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• pp.122-125
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• 2018

정부의 '혁신성장 8대 선도사업'이 발표된 이후 그중 하나인 스마트팜이 주목받고 있다. 스마트팜이란 축사에 정보통신기술을 접목해 원격 자동으로 가축의 생육환경을 적정하게 유지 관리할 수 있는 농장을 뜻한다. 정부가 첨단 ICT(정보통신기술)를 융 복합한 스마트농업을 지원하고 생태 친환경적 농업에 대한 연구개발을 강화하겠다는 농정 공약을 제시한 바에 따라 2014년 기준 축산 23호에 불과했던 스마트팜이 2017년에 790호로 증가했다. 정부가 2020년까지 스마트축사를 5,750호까지 늘려나간다는 계획을 발표함으로써 축산업에 스마트팜의 접목이 꾸준할 것으로 보인다. 이에 본지는 '스마트팜'의 선두주자로서 전북 정읍에 있는 농업회사법인 미소농장(주) 김종문 대표를 찾았다.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.4
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• pp.133-139
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• 2022

Recently, livestock farms in Korea are introducing data-based technologies to improve productivity, such as livestock environment and breeding management, safe livestock production, and animal welfare. In addition, the government has been conducting a smart livestock distribution project since 2017 through the modernization of ICT-based livestock facilities in order to improve the productivity of livestock products and improve the livestock environment as a policy. However, the current smart livestock house has limitations in connection, diversity, and integration between monitoring and control. Therefore, in order to intelligently systemize all processes of livestock with intelligent algorithms and remote control in order to link and integrate various monitoring and control, the Internet of Things, big data, artificial intelligence, cloud computing, and mobile It is necessary to develop a smart livestock system. In this study, domestic and foreign research trends related to smart livestock based on intelligent information technology were introduced and the limitations of domestic application of advanced technologies were analyzed. Finally, future intelligent information technology applicable to the livestock field was examined.

• The Journal of the Korea Contents Association
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• v.12 no.10
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• pp.22-34
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• 2012

In this paper, we design and implement an advanced cattle shed management system using a infrared wireless sensor nodes and surveillance camera. Our system provides three main capabilities, such as 24-hours cattle shed monitoring, trespassing detection, automatic control of cattle shed. For this, our system can monitor cattle shed as well as the condition of cows/bulls for 24 hours per day by using surveillance cameras. Our system also can detect intruders inside the cattle shed by using infrared wireless sensor nodes. In addition, our system can control the power of electric equipments in the cattle shed by using a power controller. Finally, we combine the three components into a system by using a smartphone application program and verify the effectiveness of our system by a testbed.

• KOREAN POULTRY JOURNAL
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• v.54 no.10
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• pp.112-115
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• 2022

현재 농촌의 고령화, 코로나-19로 인한 외국 인력 감소 등으로 농장 운영에 인력의 문제가 커지고 있다. 인력 자율화를 위해 스마트 축사에 대한 수요와 지원사업이 커지는 가운데 양계산업에도 자동화시스템, 스마트 축사에 대한 관심이 계속되고 있다. 이에 본지는 자동화 시스템을 넘어선 ICT 사업으로 최적의 사양관리로 경쟁력을 강화하고 있는 경기 연천군의 팜메이존의 진용일 대표를 만났다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.10a
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• pp.408-411
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• 2017

This paper deals with how to operate sensor data in smart livestock barn environment through EPCIS event schema design based on GS1 standard. We defines the types of sensors used in the smart livestock barn environment, describes the information using the GS1 standard identifier, standard event / master data structure, and standard interface for operating the sensor information, and stores / shares various sensor information of smart livestock barn defined in the schema structure.