• 제목/요약/키워드: Agriculture Drone

검색결과 45건 처리시간 0.02초

Design and Development of Agriculture Drone battery usage Monitoring System using Wireless sensor network

  • Lee, Sang-Hyun;Yang, Seung-Hak;You, Yong-Min
    • International journal of advanced smart convergence
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    • 제6권3호
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    • pp.38-44
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    • 2017
  • Currently, wired gables have been installed or portable storage devices have been installed for data acquisition of flying drone. In this paper, we propose a technology to transmit data wirelessly by sensing information such as battery discharge value, acceleration, and temperature by attaching RF sensor to a drone. The purpose of this paper is to design and develop the monitoring technology of agriculture drone battery usage in real time using RF sensor. In this paper, we propose a monitoring system that can check real time data of battery changed value, temperature, and acceleration during pesticide control activity of agricultural drone.

스마트 농업용 멀티드론 시스템 개발: 진행 현황 (Development of Multi-drone System for Smart Agriculture: A Work-in-progress Report)

  • 박영주;이현진;주찬영;손형일
    • 융복합기술연구소 논문집
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    • 제6권1호
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    • pp.43-47
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    • 2016
  • In this paper, we report a work-in-progress about development of multi-drone system for smart agriculture. The multi-drone system is controlled via a haptic teleoperation by a human operator. The purpose of the multi-drone system is that let the human operator to easily handle the multiple drones which are maintaining a fixed formation using ZigBee communication network.

Analyzing Soybean Growth Patterns in Open-Field Smart Agriculture under Different Irrigation and Cultivation Methods Using Drone-Based Vegetation Indices

  • Kyeong-Soo Jeong;Seung-Hwan Go;Kyeong-Kyu Lee;Jong-Hwa Park
    • 대한원격탐사학회지
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    • 제40권1호
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    • pp.45-56
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    • 2024
  • Faced with aging populations, declining resources, and limited agricultural productivity, rural areas in South Korea require innovative solutions. This study investigated the potential of drone-based vegetation indices (VIs) to analyze soybean growth patterns in open-field smart agriculture in Goesan-gun, Chungbuk Province, South Korea. We monitored multi-seasonal normalized difference vegetation index (NDVI) and the normalized difference red edge (NDRE) data for three soybean lots with different irrigation methods (subsurface drainage, conventional, subsurface drip irrigation) using drone remote sensing. Combining NDVI (photosynthetically active biomass, PAB) and NDRE (chlorophyll) offered a comprehensive analysis of soybean growth, capturing both overall health and stress responses. Our analysis revealed distinct growth patterns for each lot. LotA(subsurface drainage) displayed early vigor and efficient resource utilization (peaking at NDVI 0.971 and NDRE 0.686), likely due to the drainage system. Lot B (conventional cultivation) showed slower growth and potential limitations (peaking at NDVI 0.963 and NDRE 0.681), suggesting resource constraints or stress. Lot C (subsurface drip irrigation) exhibited rapid initial growth but faced later resource limitations(peaking at NDVI 0.970 and NDRE 0.695). By monitoring NDVI and NDRE variations, farmers can gain valuable insights to optimize resource allocation (reducing costs and environmental impact), improve crop yield and quality (maximizing yield potential), and address rural challenges in South Korea. This study demonstrates the promise of drone-based VIs for revitalizing open-field agriculture, boosting farm income, and attracting young talent, ultimately contributing to a more sustainable and prosperous future for rural communities. Further research integrating additional data and investigating physiological mechanisms can lead to even more effective management strategies and a deeper understanding of VI variations for optimized crop performance.

국내외 드론산업 동향 분석을 통한 공공분야에서의 드론 활용방안에 대한 연구 (A Study on Utilization of Drone for Public Sector by Analysis of Drone Industry)

  • 심승배;권헌영;정호상
    • 한국IT서비스학회지
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    • 제15권4호
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    • pp.25-39
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    • 2016
  • The drone is an unmanned aerial vehicle which has no human pilot. Drones can be classified into military drones, commercial drones, and personal drones by usage. Also, drones can be classified from large-sized to nano-sized drone by size and autonomous, remote controlled drone by control type. Especially, military drones can be classified into low-altitude drones, medium-altitude, and high-altitude drones by altitude. Recently, the drone industry is one of the fast growing industries in the world. As drone technologies have become more advanced and cost-effective, Korean government has set its goal to become a top-level country in drone business. However, the government's strict regulation for drone operations is one of the biggest hurdles for the development of the related technologies in Korea and other countries. For example, critical problems for drone delivery can be classified into technical issues and institutional issues. Technical issues include durability, conditional awareness, grasp and release mechanisms, collision avoidance systems, drone operating system. Institutional issues include pilot and operator licensing, privacy rules, noise guidelines, security rules, education for drone police. This study analyzes the trends of the drone industry from the viewpoint of technology and regulation. Also, we define the business areas of drone utilization. Especially, the drone business types or models for public sector are proposed. Drone services or functions promoting public interests need to be aligned with the business reference model of Korean government. To define ten types of drone uses for public sector, we combine the business types of government with the future uses of drones that are proposed by futurists and business analysts. Future uses of drones can be divided into three sectors or services. First, drone services for public or military sectors include early warning systems, emergency services, news reporting, police drones, library drones, healthcare drones, travel drones. Second, drone services for commercial or industrial services include parcel delivery drones, gaming drones, sporting drones, farming and agriculture drones, ranching drones, robotic arm drones. Third, drone services for household sector include smart home drones.

Research on legal improvement measurements on drone use

  • Park, Jong-Ryeol;Noe, Sang-Ouk
    • 한국컴퓨터정보학회논문지
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    • 제22권3호
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    • pp.147-153
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    • 2017
  • The main subject of year 2016 Davos forum was "The 4th Industrial Revolution." Recently, interests and investment in drone market, so called industrial revolution in the sky is growing in many countries around the world. Before, drone was used for military purpose such as reconnaissance or attacking but today, it is used in various private sectors such as unmanned delivery service, agriculture, leisure activities, etc. Presently, many major countries in the world are already involved in the 'war without gunfire' to be dominant in this drone industry. Korean government also has announced an extreme relaxation of regulations for growing drone industry by opening a conference with Ministers related to economics. During the conference, business scope of drone which was limited to agriculture, photographing, and observation was expanded to all the fields except for cases hindering national safety and security. In terms of shooting purpose drone its process of receiving approval for flight and shooting is simplified to online registration. What is more, drone delivery service will be allowed in island areas such as Goheung, Yeongwol, etc from first term of year 2017. Finding the way to apply drone in criminal investigation is also speeding up. Recently, Public Safety Policy Research Center in Korean National Police University has inquired for research service and its result will be out around November. Likewise, although more and stronger foundation for supporting drone industry is made but there are still, some opinions saying that we should take a careful approach in consideration to the side effect such as abuse in crime. One may also try terror by placing a dangerous substance. If drone falls, it may hurt any civilians. Moreover, if shopping purpose drone is hacked, it may result in violation of privacy. Compared to America, Europe, and China, we are at the very beginning stage of drone industry and it is necessary to reorganize legal issues to grow this industry. This can be thought from two perspectives; first, the growth of drone industry is blocked by difficult regulations on Aviation Law and Radio Regulation Law. The second issue is the safety and privacy that are required for operating drone. For the advanced technologies to make human life more profitable, more active and proactive actions are required by criminal law side. In preparation to the second mechanical era where man and machines should go together, I hope that responsible preparation is required in all fields including the criminal law.

Analysis of Drone Target Search Performance According to Environment Change

  • Lim, Jong-Bin;Ha, Il-Kyu
    • 한국멀티미디어학회논문지
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    • 제22권10호
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    • pp.1178-1186
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    • 2019
  • In recent years, interest in drones has grown, and many countries are developing them into a strategic industry of the future. Drones are not only used in industries such as logistics and agriculture but also in various public sectors such as life rescue, disaster investigation, traffic control, and firefighting. One of the most important tasks of a drone is to accurately identify targets in these applications. Target recognition may vary depending on the search environment of the drone. Therefore, this study tests and analyzes the drone's target recognition performance according to changes in the search environment such as the search altitude and the search angle. In addition, we propose a new algorithm that improves upon the disadvantages of the Haar cascade method, which is the existing algorithm that recognizes the target by analyzing a captured image.

드론을 이용한 딥러닝 기반 식물 이상 탐지 시스템 (Deep-Learning-based Plant Anomaly Detection using a Drone)

  • 이정민;이영훈;최남기;박희민;김현철
    • 반도체디스플레이기술학회지
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    • 제20권1호
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    • pp.94-98
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    • 2021
  • As the world's population grows, the food industry becomes increasingly important. Among them, agriculture is an industry that produces stocks of people all over the world, which is very important food industry. Despite the growing importance of agriculture, however, a large number of crops are lost every year due to pests and malnutrition. So, we propose a plant anomaly detection system for managing crops incorporating deep learning and drones with various possibilities. In this paper, we develop a system that analyzes images taken by drones and GPS of the drone's movement path and visually displays them on a map. Our system detects plant anomalies with 97% accuracy. The system is expected to enable efficient crop management at low cost.

촬영용 드론 교육 방안 (An Education Plan for Camera Drone)

  • 박성대;한건영
    • 한국정보통신학회논문지
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    • 제25권9호
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    • pp.1206-1213
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    • 2021
  • 군사용으로 개발된 드론(drone)은 관련 기술의 발전과 함께 군사용을 벗어나 민간 영역에까지 그 활용 범위를 넓혀가고 있다. 현재 드론은 농업 분야를 비롯하여 무인 택배, 영상콘텐츠 제작, 건축 분야 등에서 드론의 사용이 활발히 증가하고 있다. 우리나라는 2021년부터 드론 비행을 위한 드론 자격증 제도를 도입하여 운영 중이며 최대 이륙중량 2kg 이상의 드론 비행은 비행경력과 실기 시험이 요구된다. 그러나 2kg 미만의 드론은 비행경력이나 실기 시험이 필요 없이 온라인 교육 자격만으로도 운영할 수 있다. 최근 최대 이륙중량 2kg 미만의 촬영용 드론의 보급이 급격히 증가하고 있으며 이와 관련된 사고 또한 증가하고 있다. 본 논문은 급격히 증가하는 촬영용 드론의 특징에 대하여 살펴보고 이와 관련된 촬영용 드론 교육 방안에 대하여 논의한다.

비행 로그 복호화 방식에 따른 DJI 드론 분류 (Classification of DJI Drones Based on Flight Log Decryption Method)

  • 이영우;김주환;유지현;윤주범
    • 정보보호학회논문지
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    • 제32권1호
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    • pp.77-88
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    • 2022
  • 드론(Drone)의 제작기술이 발전하고 대중화되면서 주로 산업, 농업, 군사 등에 치우쳐 있던 드론 시장은 개인·상업 시장에서도 큰 성장세를 보인다. 그중에서 DJI는 개인·상업용 드론 시장에 높은 점유율을 보이고, 이에 따라 DJI 드론의 포렌식 분석이 주목받고 있다. 특히, 범죄행위에 사용된 드론을 탈취·획득하여 분석할 때, 드론의 비행경로 및 하드웨어 정보를 기록한 비행 로그를 해석하는 기술이 필요하고, 이는 DJI의 드론 모델마다 복호화 방식의 차이로 인해 드론 모델별로 다르게 적용할 수밖에 없다. 따라서, 디지털 포렌식 조사관의 관점에서 불상의 드론을 획득하였을 때, 분석할 수 있는 드론 모델에 대한 명확한 분류가 필요하다. 본 논문에서는 포렌식을 통해 DJI 드론의 아티팩트를 추출하여 분석하는 방법을 제안하고, DJI의 출시 연월이 다른 세 가지 드론 모델에 대해서 미디어 데이터의 분석 및 비행 로그 분석 결과와 복호화 방식에 대해서 분석한다. 마지막으로, 상용화된 DJI 드론 비행 로그의 복호화 여부에 따라 DJI 제품군의 드론을 분류한다.

가상 드론 시뮬레이터 구축을 위한 시스템 구성 (The Construction Method for Virtual Drone System)

  • 이택희
    • 한국차세대컴퓨팅학회논문지
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    • 제13권6호
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    • pp.124-131
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    • 2017
  • 최근 드론은 배송, 농업, 공업, 엔터테인먼트 등 다양한 분야에 적용되어 사용 영역을 넓히고 있다. 실제 드론을 제어하기 위해선 많은 경험이 필요하지만 이를 위해선 드론 분실, 파손 등 여러 위험한 상황에 노출되기 쉽다. 가상 드론 시스템은 이러한 위험성을 피하여 드론을 학습 할 수 있는 배경을 제공할 수 있다. 본 논문에서는 드론 학습을 위한 가상 드론 시스템 구축을 위한 요구기술들에 대해 논한다. 먼저, 다양한 형태를 가질 수 있는 드론을 가상의 환경에서 조립할 수 있는 저작도구가 필요하다. 가상의 저작도구는 실제 드론의 물리적 특성을 반영할 수 있어야 한다. 이에 실제 비행에 큰 영향을 비치는 로터의 위치나 배선의 간섭 등을 고려할 수 있는 가상 드론 저작 도구를 제안한다. 다음으로는 만들어진 가상의 드론을 실제 비행환경과 흡사한 물리적 조건하에서 구동 해 볼 수 있는 가상 드론 시뮬레이터가 필요하다. 이 시뮬레이터는 실제와 근접한 렌더링 품질을 보장할 수 있어야 하며 기체 역학에 근거한 물리적 환경 하에 구동이 되어야 한다. 여기에 가상 드론의 동역학적 특징이 움직임에 반영 될 수 있도록 SILS(Software in the loop simulation) 기반의 검증 기법을 추가하여 사실성을 높인다. 마지막으로 실제 드론 컨트롤러 기반으로 가상의 드론을 구동할 수 있는 환경이 필요하다. 범용으로 사용되는 드론 컨트롤러의 신호를 시뮬레이터에서 받아 사용할 수 있는 가상 드론 컨트롤러 기술을 제안한다. 완성된 가상드론 저작도구, 시뮬레이터, 및 컨트롤러 연동 기술을 포함한 가상 드론 시스템은 100명의 사용자 대상 만족도 조사 결과 10점 기준 7.64의 만족도를 나타내었다.