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2024 Vol.33, Issue 4 Preview Page

Original Articles

Big-Data Analysis of Daily Climate Control Strategies and Crop Growth Indicators in High-Yielding Greenhouse Strawberry Farms

스마트팜 우수농가 빅데이터를 이용한 딸기 온실 일간 환경관리 전략 및 작물 생육 지표 분석

Minhee Han1
,
Jin Hyun Kim1
,
Jiwoong Bang1
,
Jae Han Lee2
,
Hyeon Woo Jeong3*
한 민희1
,
김 진현1
,
방 지웅1
,
이 재한2
,
정 현우3*
1Researcher, Protected Horticulture Researcher Institute, NIHHS, RDA, Haman 52054, Korea
2Senior Researcher, Protected Horticulture Researcher Institute, NIHHS, RDA, Haman 52054, Korea
3RDA Research Associate, Protected Horticulture Researcher Institute, NIHHS, RDA, Haman 52054, Korea
1농촌진흥청 국립원예특작과학원 시설원예연구소 농업연구사
2농촌진흥청 국립원예특작과학원 시설원예연구소 농업연구관
3농촌진흥청 국립원예특작과학원 시설원예연구소 전문연구원
*Corresponding Author
31 October 2024. pp. 491-497
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Abstract

Digital technologies, including big-data and sensor technology, have the potential to enhance crop yield and production efficiency in smart greenhouses. However, challenges remain in analyzing big-data effectively and applying it to data-driven cultivation, particularly in identifying specific values for on-site greenhouse control systems. To identify the optimal hourly climate setpoint for each crop developmental stage, this study analyzes the longitudinal climate, crop growth, and yield datasets from greenhouse farms in Korea. We observed that high-yielding farms maintained higher temperatures after sunset during the cold season, reaching 13 °C at 18:00, which was 1.0－2.2 °C warmer than middle- and low-yielding farms. Their yield increase rate during January was also higher, at 1.3 kg/m2 per month, compared to 0.8 and 0.5 kg/m2 for the other groups. This study provides growth stage-specific hourly temperature setpoints and crop growth assessment references that can be practically applied, based on data from high-yielding farms.

Keywords
climate control
data analysis
digital agriculture
greenhouse horticulture
smart farm

빅데이터와 센서 기술 등을 활용한 디지털 농업은 시설원예 작물 생산량과 효율성을 향상시킬 수 있다. 그러나 빅데이터를 효과적으로 분석하고 이를 데이터 기반 재배에 적용하는 데는 여전히 어려움이 있으며, 특히 현장의 온실 환경 제어 시스템에 활용하기 위해서는 구체적인 환경관리 기준값이 요구된다. 본 연구는 시설 딸기의 생육 단계에 맞는 최적 환경 조절값을 파악하기 위해 환경, 작물 생육, 생산량 데이터를 분석하였다. 농가를 상위, 중위, 하위 생산량 집단으로 구분한 뒤, 화방별 착과기를 기준으로 한 생육 단계별 생육지표 및 환경관리 전략을 비교하였다. 분석 결과 상위 농가에서 저온기인 12－2월에 일몰 후 온도가 13℃로 유지되어, 중위 및 하위 농가보다 1.0－2.2℃ 높았다. 또한, 상위 농가는 1월에 월간 생산량 증가율 1.3kg·m-2을 보여, 중위, 하위 농가의 0.8kg·m-2, 0.5kg·m-2와 구분되었다. 본 연구는 상위 농가 데이터를 바탕으로 생육 단계에 따른 시간대별 온도 설정값과 작물 생육 판단 기준의 기초 자료를 제공한다.

키워드
데이터 분석
디지털 농업
스마트팜
시설원예
환경조절
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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 :491-497
  • Received Date : 2024-10-15
  • Revised Date : 2024-10-31
  • Accepted Date : 2024-10-31
  • DOI :https://doi.org/10.12791/KSBEC.2024.33.4.491
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