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2022 Vol.67, Issue 4 Preview Page

Original Research Article

Field Phenotyping of Plant Height in Kenaf (Hibiscus cannabinus L.) using UAV Imagery

드론 영상을 이용한 케나프(Hibiscus cannabinus L.) 작물 높이의 노지 표현형 분석

Gyujin Jang12
,
Jaeyoung Kim3
,
Dongwook Kim1
,
Yong Suk Chung4
,
Hak-Jin Kim567*
장 규진12
,
김 재영3
,
김 동욱1
,
정 용석4
,
김 학진567*
1PhD. Course, Department of Biosystems Engineering, Seoul National University, Seoul 08826, Republic of Korea
2PhD. Course, Integrated Major in Global Smart Farm, Seoul National University, Seoul 08826, Republic of Korea
3Research Engineer, Gene Engineering Division, National Institute of Agricultural Sciences, Rural Development Administraion, Jeonju 54874, Republic of Korea
4Associate Professor, Deparement of Plant Resources and Environment, Jeju National University, Jeju 63243, Republic of Korea
5Professor, Department of Biosystems Engineering, Seoul National University, Seoul 08826, Republic of Korea
6Director, BrainKorea21 Global Smart Farm Educational Research Center, Seoul National University, Seoul 08826, Korea
7Adjunct Researcher, Research Institute of Agriculture and Life Sciences, Sciences, Seoul National University, Seoul 08826 Republic Korea
1서울대학교 바이오시스템공학과 박사과정
2서울대학교 융합전공 글로벌 스마트팜 박사과정
3국립농업과학원 농업생명자원부 유전자공학과 연구원
4제주대학교 식물자원환경전공 부교수
5서울대학교 바이오시스템공학과 교수
6BK21 글로벌 스마트팜 혁신인재양성 교육연구단 단장
7서울대학교 농업생명과학연구원 겸무연구원
*Corresponding Author
1 December 2022. pp. 274-284
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Abstract

To use kenaf (Hibiscus cannabinus L.) as a fiber and livestock feed, a high-yielding variety needs to be identified. For this, accurate phenotyping of plant height is required for this breeding purpose due to the strong relationship between plant height and yield. Plant height can be estimated using RGB images from unmanned aerial vehicles (UAV-RGB) and photogrammetry based on Structure from Motion (SfM) algorithms. In kenaf, accurate measurement of height is limited because kenaf stems have high flexibility and its height is easily affected by wind, growing up to 3 ~ 4 m. Therefore, we aimed to identify a method suitable for the accurate estimation of plant height of kenaf and investigate the feasibility of using the UAV-RGB-derived plant height map. Height estimation derived from UAV-RGB was improved using multi-point calibration against the five different wooden structures with known heights (30, 60, 90, 120, and 150 cm). Using the proposed method, we analyzed the variation in temporal height of 23 kenaf cultivars. Our results demontrated that the actual and estimated heights were reliably comparable with the coefficient of determination (R2) of 0.80 and a slope of 0.94. This method enabled the effective identification of cultivars with significantly different heights at each growth stages.

Keywords
Kenaf (Hibiscus cannabinus L.)
plant height
RGB image
Structure from Motion (SfM) algorithms
Unmanned Aerial Vehicle (UAV)
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Information
  • Publisher :The Korean Society of Crop Science
  • Publisher(Ko) :한국작물학회
  • Journal Title :The Korean Journal of Crop Science
  • Journal Title(Ko) :한국작물학회지
  • Volume : 67
  • No :4
  • Pages :274-284
  • Received Date : 2022-10-17
  • Revised Date : 2022-11-08
  • Accepted Date : 2022-11-10
  • DOI :https://doi.org/10.7740/kjcs.2022.67.4.274
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