Korean Journal of Agricultural and Forest Meteorology (한국농림기상학회지)

Korean Society of Agricultural and Forest Meteorology (한국농림기상학회)
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Improving and Validating a Greenhouse Tomato Model "GreenTom" for Simulating Artificial Defoliation

적엽작업을 반영하기 위한 시설토마토 생육모형(GreenTom) 개선 및 검증

  • Kim, Yean-Uk (Research Institute of Agriculture and Life Sciences, Seoul National University) ;
  • Kim, Jin Hyun (Protected Horticulture Research Institute, National Institute of Horticultural & Herbal Science) ;
  • Lee, Byun-Woo (Research Institute of Agriculture and Life Sciences, Seoul National University)
  • 김연욱 (서울대학교 농업생명과학연구원) ;
  • 김진현 (국립원예특작과학원 시설원예연구소) ;
  • 이변우 (서울대학교 농업생명과학연구원)
  • Received : 2019.12.06
  • Accepted : 2019.12.20
  • Published : 2019.12.30
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Abstract

Smart-farm has been spreading across Korea to improve the labor efficiency and productivity of greenhouse crops. Although notable improvements have been made in the monitoring technologies and environmental-controlling systems in greenhouses, only a few simple decision-support systems are available for predicting the optimum environmental conditions for crop growth. In this study, a tomato growth model (GreenTom), which was developed by Seoul National University in 1997, was calibrated and validated to examine if the model can be used as a decision-supporting system. The original GreenTom model was not able to simulate artificial defoliation, which resulted in overestimation of the leaf area index in the late growth. Thus, an algorithm for simulating the artificial defoliation was developed and added to the original model. The node development, leaf growth, stem growth, fruit growth, and leaf area index were generally well simulated by the modified model indicating that the model could be used effectively in the decision-making of smart greenhouse.

스마트팜은 원예작물의 생산성과 품질을 제고하기 위한 생력화 방법으로 최근 많은 주목을 받고 있다. 하지만 국내의 스마트팜은 단순한 환경 모니터링과 환경제어만 가능한 초기단계에 머물고 있으며, 작물 생육에 최적화된 환경을 모의하는 의사결정도구의 개발은 미흡한 상태이다. 본 연구에서는 의사결정도구로써의 작물생육모형의 활용가능성을 확인하기 위해 국내에서 개발된 GreenTom모형의 품종모수를 추정하고 모형의 모의 성능을 검증하였다. 적엽은 시설토마토 재배에서 흔히 행해지는 농작업이지만 기존 모형은 이를 모의하지 않아 지상부 생육 모의에 문제를 나타냈다. 이를 해결하기 위해 적엽 알고리즘을 개발하여 기존 모형에 추가하고 모의 성능을 검증한 결과, 개선된 모형은 시설재배 토마토의 발달과 생육을 비교적 잘 모의하여 본 모형이 의사결정도구로 활용될 수 있음을 확인하였다.

Keywords

References

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