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Assessment of Chainsaw Felling in Smart Thinning Operation : Localizing Trees to be Felled and Operational Productivity

첫 페이지 보기
  • 발행기관
    한국산림공학회 바로가기
  • 간행물
    한국산림공학회 학술대회 바로가기
  • 통권
    International Conference of KSFE-FETEC 2025 (2025.06)바로가기
  • 페이지
    pp.61-61
  • 저자
    Hyun-Min Cho, Jin-Woo Park, Jung-Soo Lee, Sang-Kyun Han
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A468608

원문정보

초록

영어
A smart thinning operation uses advanced technologies and methods for implementation of efficient and precise logging activities. It consists of forest resource survey and spatial inventory construction using LiDAR, optimal selection of trees to be removed using machine learning techniques, and felling operations based on a real-time positioning system. In felling activities for a smart thinning operation, a chainsaw operator can accurately locate trees to be felled using a positioning system without any flagging on trees. This study evaluated the field applicability of a GNSS-RTK system (R12i, Trimble) for a felling operation in a 1-ha area of Pinus and Larix thinning stands. A comparative field simulation was conducted between smart and traditional felling operations, each repeated twice, to assess the accuracy of tree localization and operational times. The results showed that the accuracy of navigating trees to be felled of the smart felling operation was satisfactory in both pine and larix stands, averaging 80.3% and 97.0%, respectively. The operational time for the smart felling operation in pine and larix stands showed 47.6 sec/tree and 49.9 sec/tree, respectively, which represents 5.2 times and 3.0 times higher each compared to the traditional chainsaw felling operation. In smart felling operation, the operational time decreased by an average of 20.3% in the second phase compared to the first phase of the simulation, indicating the operational time can be improved through enhancing the operators’ proficiency of the GNSS-RTK equipment.

저자

  • Hyun-Min Cho [ Division of Forest Sciences, Kangwon National University, 1, Kangwondaehakgil, Chuncheon, 24341, South Korea ]
  • Jin-Woo Park [ Division of Forest Sciences, Kangwon National University, 1, Kangwondaehakgil, Chuncheon, 24341, South Korea ]
  • Jung-Soo Lee [ Division of Forest Sciences, Kangwon National University, 1, Kangwondaehakgil, Chuncheon, 24341, South Korea ]
  • Sang-Kyun Han [ Division of Forest Sciences, Kangwon National University, 1, Kangwondaehakgil, Chuncheon, 24341, South Korea ] Corresponding Author

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    한국산림공학회 [Korean Society of Forest Engineering]
  • 설립연도
    2003
  • 분야
    농수해양>임학
  • 소개
    사방, 임도, 벌출, 산림환경보전 및 훼손지 복원 등에 관한 연구 및 기술개발과 회원 상호간의 유기적인 칙목을 도모하여 임학 및 임업의 발전과 산림자원의 보전 및 관련 기술개발에 기여함을 목적으로함.

간행물

  • 간행물명
    한국산림공학회 학술대회
  • 간기
    연간
  • 수록기간
    2023~2025
  • 십진분류
    KDC 526 DDC 634

이 권호 내 다른 논문 / 한국산림공학회 학술대회 International Conference of KSFE-FETEC 2025

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