한국농림기상학회지 (Korean Journal of Agricultural and Forest Meteorology)

  • 제22권1호
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  • Pages.13-19
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  • 2020
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  • 1229-5671(pISSN)
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  • 2288-1859(eISSN)
한국농림기상학회 (Korean Society of Agricultural and Forest Meteorology)
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RGB 컬러 이미지를 이용한 콩의 군락 피복과 엽면적에 대한 저비용 평가

Low-cost Assessment of Canopy Light Interception and Leaf Area in Soybean Canopy Cover using RGB Color Images

  • 이윤호 (농촌진흥청 국립식량과학원 작물재배생리과) ;
  • 상완규 (농촌진흥청 국립식량과학원 작물재배생리과) ;
  • 백재경 (농촌진흥청 국립식량과학원 작물재배생리과) ;
  • 김준환 (농촌진흥청 국립식량과학원 작물재배생리과) ;
  • 조정일 (농촌진흥청 국립식량과학원 작물재배생리과) ;
  • 서명철 (농촌진흥청 국립식량과학원 작물재배생리과)
  • Lee, Yun-Ho (Crop Physiology and Production, National Institute of Crop Science, Rural Development Administration) ;
  • Sang, Wan-Gyu (Crop Physiology and Production, National Institute of Crop Science, Rural Development Administration) ;
  • Baek, Jae-Kyeong (Crop Physiology and Production, National Institute of Crop Science, Rural Development Administration) ;
  • Kim, Jun-Hwan (Crop Physiology and Production, National Institute of Crop Science, Rural Development Administration) ;
  • Cho, Jung-Il (Crop Physiology and Production, National Institute of Crop Science, Rural Development Administration) ;
  • Seo, Myung-Chul (Crop Physiology and Production, National Institute of Crop Science, Rural Development Administration)
  • 투고 : 2020.02.17
  • 심사 : 2020.03.09
  • 발행 : 2020.03.30
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초록

본 연구는 저비용·저 노동력을 위해 RGB 컬러 이미지에서 획득한 녹색영역 값과 엽면적 그리고 군락피복 측정을 비교하였다. 시험에 사용된 품종은 국내에서 가장 많이 재배되고 있는 대원콩, 대풍콩 및 풍산나물콩을 재배하였다. 측정 시기는 엽의 4.5엽기부터 종실비대기까지 RGB 컬러 이미지를 획득하여 군락 엽면적과 피복을 비교하였다. 이미지 분석은 ExGR로 토양으로부터 식물체의 녹색 영역을 분리하였다. 분리한 녹색 영역과 실제 측정한 엽면적과 피복과는 고도의 유의성을 보였다. 본 연구 결과에서 알 수 있듯이 실제 측정한 군락 엽면적과 군락 피복과는 정의 상관관계(r2=0.84)를 보였다. 군락 이미지와 실제 측정한 군락 피복과는 고도의 정의상관관계(r2=0.94)를 보였다. 또한 군락 이미지와 실제 측정한 군락 엽면적과는 고도의 정의상관관계(r2=0.74)를 보였다. 따라서 향후 RGB 컬러 이미지로 저비용·저 노동력으로 군락 단위에서 엽면적과 피복을 손쉽게 측정할 수 있을 것으로 기대된다.

This study compared RGB color images with canopy light interception (LI) and leaf area index (LAI) measurements for low cost and low labor. LAI and LI were measured from vertical gap fraction derived from top of digital image in soybean canopy cover (cv Daewonkong, Deapongkong and Pungsannamulkong). RGB color images, LAI, and LI were collected from V4.5 stage to R5stage. Image segmentation was based on excess green minus excess red index (ExG-ExR). There was a linear relationship between LAI measured with LI (r2=0.84). There was alinear relation ship between LI measured with canopy cover on image (CCI) (r2=0.94). There was a significant positive relationship(r2=0.74) between LAI and CCI at all grow ingseason. Therefore, it is expected that in the future, the RGB color image could be able to easily measure the LAI and the LI at low cost and low labor.

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