• 한국컴퓨터정보학회논문지
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• 제24권12호
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• pp.135-141
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• 2019

이 연구는 식품원료로 등록되고 건강기능성 효능이 널리 알려지면서 생산과 수요가 점차 증가하고 있는 흰점박이꽃무지 유충의 사육환경 제어를 위한 식용곤충 스마트팜 공조시스템을 설계하여 제안하고자 수행하였다. 제안된 곤충 스마트팜 공조 시스템은 사육실과 공조실을 구분하여 사육에 최적화된 환경을 공조실에서 만들어 사육실로 보급하는 시스템으로 기존 곤충 사육농가에서 냉난방기, 가습기 등을 통한 환경 제어를 할 때 사육실 내 부분별로 온도 및 습도 등이 매우 상이하여 식용곤충을 판매할 때 균일한 크기 및 무게의 흰점박이꽃무지 유충을 생산하기 어렵다는 문제점의 해결책으로 제시될 수 있다. 곤충 스마트팜 공조 시스템을 사용함으로써 기존 곤충농가의 환경제어에 비해 온도의 차를 6℃, 습도의 차를 24.7%를 감소할 수 있으며 사육실 내 부분별로 온·습도가 다른 점을 개선하여 흰점박이꽃무지 유충의 사육 최적 환경을 계절에 상관없이 상시 제공함으로써 연중 생산을 통한 생산량 증대와 곤충 사육농가의 소득증대를 도모할 수 있다. 또한 제안된 곤충스마트팜 공조시스템은 설정된 최적 온도, 습도 및 CO₂를 효율적으로 제어함으로써 갈색거저리 등 기타 식용곤충의 사육 및 버섯류의 생육에 필요한 환경제어 시스템으로도 활용할 수 있을 것이다.

• 디지털융복합연구
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• 제14권11호
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• pp.313-318
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• 2016

FTA 대응 및 농업 경쟁력 향상을 위해 농장을 PC, 스마트 폰을 이용하여 원격으로 자동 제어할 수 있는 스마트 팜 기술 개발이 활발하게 진행되고 있다. 스마트 팜에서는 RFID, Wi-Fi, ZigBee, Wireless LAN 등 다양한 ICT 기술들을 이용하여 작물과 가축의 생육환경을 원격 자동으로 관리할 수 있다. 스마트 팜에 설치된 각 디바이스들은 생육환경 데이터를 TCP/IP 기반의 유선 네트워크뿐만 아니라 ZigBee, Wireless LAN 등과 같은 무선 네트워크를 사용하여 서버에 전송하기 때문에 스마트 팜 환경에서는 기존 정보통신 환경에서 발생하는 보안 위협들을 가지고 있다. 그러므로 본 논문에서는 스마트 팜에서 발생할 수 있는 보안 취약점에 대해 분석하고 스마트 팜에서의 보안 취약점에 대응하기 위해 사용자 인증정보를 스마트 팜의 디바이스에 분산하여 저장하고 복화화하여 인증하는 방법을 제안한다.

• 스마트미디어저널
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• 제11권5호
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• pp.38-47
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• 2022

Honey is one of the most significant ingredients in conventional food production in different regions of the world. Honey is commonly used as an ingredient in ethnic food. Beekeeping is performed in various locations as part of the local food culture and an occupation related to pollinator production. It is important to conduct beekeeping so that it generates food culture and helps regulate the regional environment in an integrated manner in preserving and improving local food culture. This study analyzes different types of environmental factors of a smart bee farm. The major goal of this study is to determine the best prediction model between the linear regression model (LM) and the support vector regression model (SVR) based on the environmental factors of a smart bee farm. The performance of prediction models is measured by R² value, root mean squared error (RMSE), and mean absolute error (MAE). From all analysis reports, the best prediction model is the support vector regression model (SVR) with a low coefficient of variation, and the R² values for Farm inside temperature, bee box inside temperature, and Farm inside humidity are 0.97, 0.96, and 0.44.

• 한국컴퓨터정보학회논문지
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• 제24권8호
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• pp.37-43
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• 2019

The existing smart farm technology has been systematized for the mass production rather than the consumer. There are many problems such as economical aspect to apply to actual rural environment due to aging. The purpose of this study is to apply smart farm technology based on the applicability of population aged in rural areas. Due to the heat wave, the crops in general greenhouse cultivation facilities suffered from damage such as sunlight damage. To minimize such damage, adjust the temperature and humidity environment or install a light-shielding film. However, the workers in the rural areas are aging and the elderly who are farming alone have a lot of difficulties in doing so. In the case of people with weak physical strength, there is a danger that they may lead to safety accidents when carrying heavy loads. In this paper, we propose 'Smart Palm capable of automatic transportation function', applying small smart vehicles that follow workers to existing smart farms to improve and prevent these problems. It is a smart farm that performs the control functions of the existing smart greenhouse environment, installs the rail for each trough, and has a vehicle that follows the worker. The smart app can directly control the greenhouse and the vehicle remotely manually.

• International journal of advanced smart convergence
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• 제12권4호
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• pp.458-463
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• 2023

This study presents a paper on the implementation of a Raspberry Pi-based educational smart farm system. It confirms that in a real smart farm environment, the control of temperature, humidity, soil moisture, and light intensity can be smoothly managed. It also includes remote monitoring and control of sensor information through a web service. Additionally, information about intruders collected by the Pi camera is transmitted to the administrator. Although the cost of existing smart farms varies depending on the location, material, and type of installation, it costs 400 million won for polytunnel and 1.5 billion won for glass greenhouses when constructing 0.5ha (1,500 pyeong) on average. Nevertheless, among the problems of smart farms, there are lax locks, malfunctions to automation, and errors in smart farm sensors (power problems, etc.). We believe that this study can protect crops at low cost if it is complementarily used to improve the security and reliability of expensive smart farms. The cost of using this study is about 100,000 won, so it can be used inexpensively even when applied to the area. In addition, in the case of plant cultivators, cultivators with remote control functions are sold for more than 1 million won, so they can be used as low-cost plant cultivators.

• 한국작물학회:학술대회논문집
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• 한국작물학회 2017년도 추계학술대회
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• pp.15-15
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• 2017

• 한국작물학회:학술대회논문집
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• 한국작물학회 2022년도 추계학술대회
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• pp.142-142
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• 2022

• 반도체디스플레이기술학회지
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• 제20권1호
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• pp.104-107
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• 2021

Unity programs are largely recognized as game development tools. However, it has many functions built in, so it can be applied to various fields as well as game development. Therefore, in this paper, we propose a smart farm environmental control program using Unity and Photon. The proposed program has vast compatibility that is not limited to specific devices, and it is very easy to build network systems for remote control. In addition, the proposed programs were installed on various devices such as pc and smartphones, making it easy to control the smart farm environment system. Through experiments, it was confirmed that data transmission and reception between Windows and Android, other operating system environments, and that smart farm systems were operating normally.

• 한국농촌건축학회논문집
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• 제26권2호
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• pp.37-46
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• 2024

The city is developing into a smart city. Smart villages and smart farms are developing in rural areas. Architectural technology needs synergy with smart cities, smart villages, and smart factories (intelligent factories) to help architectural experts understand smart farms and build facilities and equipment. Smart farms require design and construction technology with architectural structure and function. The purpose of this study was to investigate the current status and cases of smart farms in Korea and to investigate cases abroad. The conclusion is as follows. ① Smart farms are developing rapidly. The Korean government is expanding smart farms by utilizing ICT technology and infrastructure. ② 'Smart Farm Innovation Valley', which has been promoted since 2018, is a cutting-edge convergence cluster industrial complex that integrates production, education, and research functions such as start-ups and technological innovation. ③ In domestic cases, smart farms are operated in subway stations, buildings, supermarkets, and restaurants. ④ In the Japanese case, a dome-type smart farm was being operated. It utilized factory wastewater, waste heat, renewable energy, and used new materials. Otemachi Ranch raised livestock and provided a lounge on the 13th floor of the building. ⑤ In the cases of Korea and Japan, the smart farm technology is very similar. As stated earlier, since the food culture and agricultural technology of both countries are similar, we hope to promote the development of smart farms that can reduce concerns about future food by communicating and sharing mutual technologies.

• 한국인터넷방송통신학회논문지
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• 제19권2호
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• pp.169-174
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• 2019

본 논문은 스마트팜 ICT기기의 고장 오작동으로 인한 이상을 탐지하여 사용자에게 알리는 시스템을 제안한다. 4차 산업혁명이 다가오면서 농업도 경쟁력 향상을 위해 ICT기술과 융합하고 있다. 매년마다 스마트 농업 시장 규모는 빠르게 성장하고 있지만 아직까지 기기의 표준화와 인증제도가 부족한 실정이다. 특히 국내에서 보급되고 있는 스마트팜 기기는 업체마다 제품 규격이 상이하고 소프트웨어와 하드웨어가 별도로 개발되고 있는 등 품질과 호환성이 떨어져 저가의 스마트 팜 기기를 사용하는 농가의 피해가 빈번하게 발생하여 기기의 이상을 인지할 수 있는 시스템이 필요한 상황이다. 본 논문에서는 스마트팜 국내외 정책 동향과 국내 스마트 농업 동향을 알아보고 스마트팜 고장 오작동에 의한 이상 상황을 분석하여 사전에 예방하고 문제 상황이 발생할 경우 사용자에게 알리는 시스템을 제안한다.