• Title/Summary/Keyword: 스마트 농업

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Science Technology - 농업도 첨단시대! 도시형 '스마트 팜' 눈앞에 성큼

  • Kim, Hyeong-Ja
    • TTA Journal
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    • s.178
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    • pp.66-67
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    • 2018
  • '스마트 팝'이 도시 농업의 핵심으로 부상하고 있다. 농사는 농부가 농촌에서 지어야 한다는 고정관념이 무너지기 시작했다. 도시의 농업화는 이미 거스를 수 없는 메가트렌드다. 장소를 가리지 않고 농업의 틀을 다지고 있는 정보통신기술(ICT) 덕분이다.

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The Study on Evaluation Method of Pest Control Robot Requirements for Smart Greenhouse (스마트 온실 방제 로봇의 요구조건을 고려한 평가 방법 연구)

  • Kim, Kyoung-Chul;Ryuh, Beom-Sahng;Lee, Siyoung;Kim, Gookhwan;Lee, Meonghun;Hong, Young-ki;Kim, Hyunjong;Yu, Byeong-Kee
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.10
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    • pp.318-325
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    • 2019
  • Recently, research and development on agricultural robots have been on the rise as the interest in smart farming has increased. Robots used in smart greenhouses should be taken into account with the working characteristics and growing environment. This study examined cleaning robots developed through the environmental analysis of smart greenhouses. This study assessed the evaluation method considering the requirements of the pest control robot applicable to the smart greenhouse. The performance and quality assessment criteria were established to conduct tests through the requirements of robots. The required functions and goals of the pest control robot were derived by referring to the robot-related standards. A driving and working ability test was conducted to assess the performance of the robot. The driving test was conducted on the driving performance of the robot and the work capability was tested on the pest control performance. In addition, a durability test was conducted to assess the quality of the robot. The required factors for smart greenhouse robots were derived from the test results. The study results are expected be a standard for an evaluation of a variety of robots for applications to smart greenhouses.

A Study on the Strategies of China Smart Farming Development - From the Perspective of One Belt One Road Initiative and Made in China 2025 Plan - (중국 스마트 농업 발전 전략 고찰 -[일대일로]와 [중국제조2025]전략을 중심으로)

  • Zhang, Qingqing
    • Journal of Convergence for Information Technology
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    • v.8 no.5
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    • pp.251-261
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    • 2018
  • Under the great influence of ICT technology, China is forging ahead steadily and rapidly in the area of smart farming. In the last decade, Chinese government has carried out strategic plans to promote its economic development in agriculture, such as the plan of Made In China 2025 and One Belt One Road initiative. This thesis's objective is to analyze how such plans and initiative can provide 'windows of opportunity' to the development of smart farming industry in China. China led the development of smart agriculture by making a T-shaped rise which is composed with 'One Belt One Road Initiative and Made in China 2025 Plan. This thesis is divided into three types as path-following catch-up, path-skipping catch-up, path-creating catch-upAs this thesis also manages to provide some implications on the export strategies of South Korea's smart farming industry by understanding chinese samrt farm industry.

A System for Determining the Growth Stage of Fruit Tree Using a Deep Learning-Based Object Detection Model (딥러닝 기반의 객체 탐지 모델을 활용한 과수 생육 단계 판별 시스템)

  • Bang, Ji-Hyeon;Park, Jun;Park, Sung-Wook;Kim, Jun-Yung;Jung, Se-Hoon;Sim, Chun-Bo
    • Smart Media Journal
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    • v.11 no.4
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    • pp.9-18
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    • 2022
  • Recently, research and system using AI is rapidly increasing in various fields. Smart farm using artificial intelligence and information communication technology is also being studied in agriculture. In addition, data-based precision agriculture is being commercialized by convergence various advanced technology such as autonomous driving, satellites, and big data. In Korea, the number of commercialization cases of facility agriculture among smart agriculture is increasing. However, research and investment are being biased in the field of facility agriculture. The gap between research and investment in facility agriculture and open-air agriculture continues to increase. The fields of fruit trees and plant factories have low research and investment. There is a problem that the big data collection and utilization system is insufficient. In this paper, we are proposed the system for determining the fruit tree growth stage using a deep learning-based object detection model. The system was proposed as a hybrid app for use in agricultural sites. In addition, we are implemented an object detection function for the fruit tree growth stage determine.

Agricultural Management Innovation through the Adoption of Internet of Things: Case of Smart Farm (사물인터넷에 의한 농업경영혁신 : 스마트농장의 사례)

  • Kim, Joo-Tae;Han, Jong-Soo
    • Journal of Digital Convergence
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    • v.15 no.3
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    • pp.65-75
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    • 2017
  • Agricultural sector in Korea faces the threat of aging farmers and many other difficulties. Because agriculture is a very less-competitive industry in Korea and many solutions to improve the competitiveness of Korean agriculture should be studied. The advent of Internet of things(IoT) technology makes possible many new industries and business models in the current society. The adoption of this new technology in agriculture can bring about innovations in agricultural production and distribution as $6^{th}$ industry. This paper summarizes the opportunities in IoT and smart farm. The major benefits and obstacles in introducing smart farms are reviewed and the cases of two successful smart farms in Korea are analyzed. Through these case studies, we can recognize the current status and future strategies in Korean smart farms.

Standardization for Planning of Smart Farming Service (스마트농업서비스 사전 기획 표준)

  • Lee, Soong-Hee
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2015.10a
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    • pp.600-602
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    • 2015
  • This paper first introduces Smart Farming with various researches and developments, and describes its reference model. Then, the importance of planning at the pre-production stage which deeply affects to the whole process of the Smart Farming is explained. Lastly, the current and future trends of researches and developments on the planning of the Smart Farming are given.

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Sensor Data Technology for Smart Agriculture (스마트 농업을 위한 센서 데이터 기술)

  • Kim, Young-Dong
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2014.10a
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    • pp.861-864
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    • 2014
  • Recently, the growth control of crops is developed as one of essential factors for smart agriculture based on ubiquitous sensor network. It is reason of easiability for control of product quantity and management of product quality. In this paper, scenario of smart agriculture is investigated for domestic and foreign countries and currently used sensor data technologies is compared to support a series of technological systemization works for sensor data field of smart agriculture. The results of this paper can be used as basic data for smart agriculture standardizations which is currently under progress at domestic and abroad.

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Interface component for smart farming production model based on Network (네트워크 기반 스마트 농업 생산 모델에서의 인터페이스 구성 요소)

  • Kim, Dong il;Chung, hee Chang
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2016.05a
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    • pp.509-512
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    • 2016
  • The standard of the greenhouse control system defines the components in applying IT technologies to a greenhouse and specifies the requirements and the architecture for the technological issues. The system collects information for the growth management of corps and can control the facilities promoting the optimal growth environments in greenhouse. This system includes the growth environment management service, the growth environment control service, and etc. In this paper, it is required to consider the actualized IT convergence case for agriculture, namely Smart Farming as a solution to cope the presented problems. In addition, suggest to standard functional model and standardization items for the smart farming based on network.

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Design and Performance Evaluation of the IoT-based Smart Breeding System for Protaetia Brevitarsis Seulensis (IoT 기반 흰점박이꽃무지 스마트 사육사 설계 및 성능평가)

  • Won, Jin-Ho;Kwak, Kang-Su;Rho, Si-Young;Lee, Sang-Gyu;Choi, In-Chan;Lee, Jae-Su;Kim, Tae-Hyun;Baek, Jeong-Hyun;Seok, Young-Seek
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2020.07a
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    • pp.575-576
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    • 2020
  • 본 논문은 근래에 식용곤충 식품에 대한 수요 및 국민적 관심이 증가하여 관련 산업이 급격히 성장하고 있는 가운데, 건강기능성 효과가 널리 알려진 흰점박이꽃무지 유충의 안정적인 생산량 확보를 위한 스마트 사육사를 제작하고 그 성능을 평가한 결과이다. 사육사는 L6m×W3m×H2.8m 크기로 제작하였으며, 안정적인 사육환경을 위하여 사육실과 공조실을 분리하여 설계하였다. 공시재료는 생후 15일이 경과된 흰점박이꽃 무지 유충 1령이며, 스마트 사육사 내 사육환경은 온도 25±2℃, 습도 65±5%로 제어하였다. 사육조사는 매주 1회, 유충의 체중, 길이, 두께를 측정하였으며, 스마트 사육사의 성능평가를 위해 일반 사육농가(전북 소재)와 비교·분석하였다. 사육 4주 후 조사 결과, 스마트 사육사에서 사육한 유충의 체중과 길이는 각각 평균 1.97g/마리와 3.75cm로, 일반농가의 1.58g/마리와 3.55cm에 비해 비교적 높은 것으로 나타났다. 하지만, 두께의 경우 2주 차까지 일반농가에서 대체로 높은 것으로 나타났으며, 이후 3~4주 차에서는 큰 차이를 보이지 않았다. 따라서 본 연구를 통해 개발한 흰점박이꽃무지 유충 스마트 사육사는 일반농가와 비교해 사육이 비교적 빠르고 생산량을 더 많이 확보할 수 있는 시스템으로 농가소득 증대에 유용할 것으로 판단되며, 장소 및 시간에 상관없이 생육환경 제어가 가능하여 개발된 시제품의 보급 확대가 필요하다.

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A Study on Integrated Management Platform for Smart Farm (스마트 팜 운영을 위한 통합관리 플랫폼에 관한 연구)

  • Joo, Seong-Yong;Yeom, Gee-Seon
    • Proceedings of the Korea Information Processing Society Conference
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    • 2017.04a
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    • pp.450-453
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    • 2017
  • 국내 농업의 경쟁력을 향상하고 농업인구의 부족과 노령화 문제를 해결하기 위해서 스마트 팜을 도입하고 있다. 그러나 스마트 팜이 실제 농업 경쟁력을 향상하고 농업종사자 부족과 노령화 문제를 해결하기에는 여러 가지 문제점들을 내포하고 있다. 본 논문에서는 이 같은 문제점들을 해결하기 위한 방안을 제시한다.