Journal of Bio-Environment Control (생물환경조절학회지)

The Korean Society for Bio-Environment Control (한국생물환경조절학회)
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Estimation of Leaf Area Using Leaf Length, Leaf width, and Lamina Length in Tomato

엽장, 엽폭, 엽신장을 이용한 토마토의 엽면적 추정

  • Lee, Jae Myun (Department of Horticulture, Kongju National University) ;
  • Jeong, Jae Yeon (Department of Horticulture, Kongju National University) ;
  • Choi, Hyo Gil (Department of Horticulture, Kongju National University)
  • 이재면 (국립공주대학교 원예학과) ;
  • 정재연 (국립공주대학교 원예학과) ;
  • 최효길 (국립공주대학교 원예학과)
  • Received : 2022.08.10
  • Accepted : 2022.10.13
  • Published : 2022.10.31
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Abstract

One of the most important factors in predicting tomato growth and yield is the leaf area. Estimating leaf area accurately is the beginning of an effective tomato plant growth assessment model. To this end, this study was conducted to identify the most effective model for estimating plant leaf area through the measurement of tomato plant leaves. Leaf area (LA), leaf length (L), leaf width (W), and lamina length (La) were measured for all leaves of 5 plants at two-week intervals. The correlation between LA and tomato-leaf-independent variables showed a strong positive relationship with the formulas La × W, L × W, La + W, and L + W. For LA estimation, a linear model using the formula LA = a + b (La2 + W2) gave the most accurate estimation (R2 = 0.867, RMSE = 88.76). After examining the positions of upper, middle, and lower leaves from September to December, the coefficient of determination (R2) values for each model were 0.878, 0.726, and 0.794 respectively. The most accurate estimation came from the model that used the upper leaves of the plants. The high accuracy of the upper-leaf-based model is judged by the 50% defoliation performed by farmers after October.

토마토의 생육과 수확량을 예측하기 위한 중요한 요소 중의 하나는 엽면적이다. 이러한 엽면적을 정확하게 예측하는 것은 토마토 식물 생장 평가 모델의 시작이라고 할 수 있다. 이를 위해 본 연구는 토마토 잎의 측정을 통해 엽면적(LA)을 추정하는 효과적인 모델을 확인하기 위해 수행하였다. 토마토 식물 잎 조사를 위해 2주 간격으로 5개체의 토마토 식물체의 전개된 모든 잎에 대해 엽면적(LA), 엽장(L), 엽폭(W), 엽신장(La)를 측정하였다. LA와 토마토 잎 독립변수의 상관관계는 La × W, L × W, La + W, L + W의 식이 강한 양의 관계를 나타냈다. LA 추정은 LA = a + b(La2 + W2)을 사용하는 선형 모델이 가장 정확한 추정치를 나타내었다(R2 = 0.867, RMSE = 88.76). 9월부터 12월까지 토마토 잎의 위치에 따른 상, 중, 하 엽의 모델을 살펴본 결과, 상, 중, 하로 잎 위치에 따른 모델별 결정계수(R2) 값은 각각 0.878, 0.726, 0.794였다. 상위엽을 바탕으로 추정된 모델의 정확도가 가장 높았는데, 이는 10월 이후 토마토 재배 농가에서 중위엽과 하위엽에 실시한 반적엽의 영향으로 판단된다.

Keywords

Acknowledgement

본 연구는 농림식품기술기획평가원 및 스마트팜연구개발사업단의 연구사업(과제번호: 421001-03)의 지원에 의해 이루어진 것임.

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