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2024 Vol.33, Issue 4 Preview Page

Original Articles

The Assessment of Irrigation System for Chili Pepper (Capsicum annuum) Using Remote Sensing Technique-based on Unmanned Aerial Vehicle (UAV) Equipped with Multiple Sensors

다중 센서 탑재 무인항공기 기반 원격탐사 기술을 이용한 고추(Capsicum annuum)의 관수 시스템 평가

Gyujin Jang12
,
Dongwook Kim3
,
Yoonah Kwon4
,
Sung Kwon Park56
,
Byoung Ill Choun7
,
Kyungho Ha8
,
Changkeun Moon9
,
Hak-Jin Kim10111213*
장 규진12
,
김 동욱3
,
권 윤아4
,
박 성권56
,
천 병일7
,
하 경호8
,
문 창근9
,
김 학진10111213*
1PhD. Course, Department of Biosystems Engineering, College of Agriculture and Life Sciences, Seoul National University, Seoul 08826, Korea
2PhD. Course, Integrated Major in Global Smart Farm, College of Agriculture and Life Sciences, Seoul National University, Seoul 08826, Korea
3Assistant Professor, Department of Smart Farm Engineering, College of Industrial Sciences, Kongju National University, Chungcheongnam-do 32439, Korea
4Undergraduate Student, Industrial and Management Engineering Department, Hanyang University, Ansan, 15588, Korea
5Master Course, Department of Biosystems Engineering, College of Agriculture and Life Sciences, Seoul National University, Seoul 08826, Korea
6Master Course, Integrated Major in Global Smart Farm, College of Agriculture and Life Sciences, Seoul National University, Seoul 08826, Korea
7CEO, MediPlants, Andong 36759, Korea
8PhD Course, Department of Smart Vechle Engineering, Konkuk University, Seoul 05029, Korea
9CEO, ROTOM, Hanam 12925, Korea
10Professor, Department of Biosystems Engineering, College of Agriculture and Life Sciences, Seoul National University, Seoul 08826, Korea
11Director, BrainKorea21 Global Smart Farm Educational Research Center, Seoul National University, Seoul 08826, Korea
12Adjunct Researcher, Research Institute of Agriculture and Life Sciences, Seoul 08826, Korea
13Adjunct Researcher, Advanced Institute of Convergence Technology, Suwon 16229, Korea
1서울대학교 농업생명과학대학 바이오시스템공학과 박사과정
2서울대학교 융합전공 글로벌 스마트팜 박사과정
3국립공주대학교 산업과학대학 스마트팜공학과 조교수
4한양대학교(ERICA) 산업경영공학과 학사과정
5서울대학교 농업생명과학대학 바이오시스템공학과 석사과정
6서울대학교 융합전공 글로벌 스마트팜 박사과정
7메디플랜츠 대표
8건국대학교 스마트운행체공학과 박사과정
9로텀 대표
10서울대학교 농업생명과학대학 바이오시스템공학과 교수
11BK21 글로벌 스마트팜 혁신인재양성 교육연구단 단장
12서울대학교 농업생명과학연구원 겸무연구원
13차세대융합기술연구원 겸무연구원
*Corresponding Author
31 October 2024. pp. 322-332
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Abstract

Recent climate change and rapid population growth have led to increased food demand, necessitating improved agricultural productivity and efficient water use. To address these challenges, smart irrigation systems based on advanced agricultural technologies are essential. However, the adoption of smart farming technology in Korea is low due to a lack of trust among farmers, highlighting the need for objective methods to evaluate irrigation systems easily. This study aims to assess the effectiveness of a soil moisture sensor-based automatic irrigation system for chili peppers using unmanned aerial vehicle (UAV)-based remote sensing technology. A UAV equipped with RGB, multispectral, and thermal infrared sensors was employed to monitor the phenotypic traits of chili peppers across non-irrigated (No-Irr), convention irrigated by farm (Farm-Irr), and sensor-based automatically irrigated (Sensor-Irr) plots. The analysis conducted by comparing phenotypic differences between No-Irr and Sensor-Irr to identify appropriate indicators for irrigation system assessment. Interestingly, plant height (PH) derived from RGB sensor data, emerged as a significant indicator, surpassing other traits such as vegetation indices from multispectral sensors and temperature data from thermal imaging. Using PH as the key indicator, the study compared Farm-Irr and Sensor-Irr, finding that Sensor-Irr exhibited greater PH, consistent with yield-based assessment. Furthermore, a growth status map based on PH was generated, illustrating the potential of UAV-based remote sensing technology to provide objective and visible data for irrigation system assessment. This study demonstrates that UAV-based remote sensing technology can enhance the reliability of smart irrigation systems, offering valuable insights for optimizing water use in agriculture.

Keywords
chili pepper (Capsicum annuum L.)
irrigation system assessment
multi sensors
unmanned aerial vehicle (UAV)

본 연구는 다중 센서 기반 UAV로 취득한 영상을 이용하여 고추 관수 시스템을 평가하는 방법을 제시하였다. 작물의 관수 시스템 평가에 다양하게 활용되는 RGB, 분광, TIR 센서를 적용하였으며, 각 센서 별로 고추로부터 작물 높이, 작물 폭, 식생지수, 온도 등을 추출할 수 있었다. 무관수 구역과 관수 구역 간의 비교를 통해 관수 시스템 평가에 적합한 인자로서 작물 높이가 제시될 수 있었다. 선정한 작물 높이를 이용하여 토양 수분 센서 기반의 자동 관수 시스템을 농가의 관행 관수 시스템과 비교하였으며 수확량 기반의 생산성 평가와 동일하게 자동 관수 시스템에서 높게 관찰되었다. 본 연구에선 UAV에 다중 센서의 관수 성능 평가 가능성을 고찰하였으나 RGB 영상 기반의 작물 높이에서만 평가 성능을 확인하였다. 관수 성능 평가는 다양한 센서를 활용하기 보단 RGB 영상만을 활용하여 저렴한 비용으로도 가능할 것으로 보인다. 한편으로, 다중센서를 이용한 본 연구에선 제시된 인자들은 작물 높이, 작물 폭, 식생지수, 온도 등으로서 선행 연구에서 활용이 높은 인자들을 선정하였다. 추후 연구로 고추의 관수 성능 평가를 확인하기 위해 본 연구에서 사용된 인자와 다르게 새로운 인자를 제시하여 다중센서 기반 UAV의 활용성을 개선하고자 한다. 결론적으로 본 연구를 통해 UAV 기반 관수 시스템 평가의 가능성을 확인하였으며 스마트 농업 기술 기반의 관수 시스템 보급에 기여할 수 있을 것이라 기대된다.

키워드
관수평가
다중센터
무인항공기
Capsicum annuum L.
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Information
  • Publisher :The Korean Society for Bio-Environment Control
  • Publisher(Ko) :(사)한국생물환경조절학회
  • Journal Title :Journal of Bio-Environment Control
  • Journal Title(Ko) :생물환경조절학회지
  • Volume : 33
  • No :4
  • Pages :322-332
  • Received Date : 2024-08-21
  • Revised Date : 2024-10-10
  • Accepted Date : 2024-10-11
  • DOI :https://doi.org/10.12791/KSBEC.2024.33.4.322
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