Journal of Bio-Environment Control (생물환경조절학회지)

The Korean Society for Bio-Environment Control (한국생물환경조절학회)
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Analysis of the Relationship between Melon Fruit Growth and Net Quality Using Computer Vision and Fruit Modeling

컴퓨터 비전과 과실 모델링을 이용한 멜론 과실 생장과 네트 품질의 관계 분석

  • Seungri Yoon (Protected Horticulture Researcher Institute, NIHHS) ;
  • Minju Shin (Protected Horticulture Researcher Institute, NIHHS) ;
  • Jin Hyun Kim (Protected Horticulture Researcher Institute, NIHHS) ;
  • Ji Wong Bang (Protected Horticulture Researcher Institute, NIHHS) ;
  • Ho Jeong Jeong (Protected Horticulture Researcher Institute, NIHHS) ;
  • Tae In Ahn (Department of Agriculture, Forestry and Bioresources (Horticultural Science and Biotechnology), Seoul National University)
  • 윤승리 (농촌진흥청 국립원예특작과학원) ;
  • 신민주 (농촌진흥청 국립원예특작과학원) ;
  • 김진현 (농촌진흥청 국립원예특작과학원) ;
  • 방지웅 (농촌진흥청 국립원예특작과학원) ;
  • 정호정 (농촌진흥청 국립원예특작과학원) ;
  • 안태인 (서울대학교 농림생물자원학부)
  • Received : 2023.10.05
  • Accepted : 2023.10.27
  • Published : 2023.10.31
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Abstract

Melon fruits exhibit a wide range of morphological variations in fruit shape, sugar content, net quality, diameter and weight, which are largely dependent on the variety. These characteristics significantly affect marketability. For netted varieties, the uniformity and pattern of the net serve as key factors in determining the external quality of the melon and act as indicators of its internal quality. In this study, we evaluated the effect of fruit morphology and growth on netting by analyzing the changes in melon fruit quality under LED light treatment and monitoring fruit growth. Computer vision analysis was used for quantitative evaluation of fruit net quality, and a three-variable logistic model was applied to simulate fruit growth. The results showed that melons grown under LED conditions exhibited more uniform fruit shape and improvements in both net quality and sugar content compared to the control group. The results of the logistic model showed minimal error values and consistent curve slopes across treatments, confirming its ability to accurately predict fruit growth patterns under varying light conditions. This study provides an understanding of the effects of fruit shape and growth on net quality.

멜론 과실은 품종에 따라 과형, 당도, 네트 품질, 직경 및 무게 등에서 다양한 형태적 변이를 보이며, 이러한 특성이 시장성을 결정하는 주요 요인이다. 네트 품종의 경우, 네트의 균일성과 패턴은 멜론의 외적 품질을 결정하는 중요한 요소로 작용하며, 멜론의 내부 품질을 보장하는 지표로 활용된다. 본 연구는 LED 보광 처리를 통한 멜론 과실의 품질 변화 및 과실 생장 모델링을 통해 과실 형태와 생장이 네트에 미치는 영향을 분석하였다. 컴퓨터 비전 분석을 사용하여 과실의 네트 품질을 정량적으로 평가하였으며, 3변수 로지스틱 모델을 활용하여 과실의 생장을 모델링하였다. 실험 결과 LED 하에서 재배된 멜론은 대조구에 비해 더 균일한 과형을 가지며, 네트의 품질과 당도 모두에서 향상된 것으로 나타났다. 또한, 로지스틱 모델을 통한 결과에서는 낮은 오차값과 처리 간에 일관된 곡선의 기울기를 확인할 수 있었으며, 다양한 광조건 하에서의 과실 생장 패턴을 효과적으로 예측할 수 있음을 확인하였다. 이 연구는 과실의 형태와 생장이 네트 품질에 어떠한 영향을 미치는지에 대한 이해를 제공한다.

Keywords

Acknowledgement

본 결과물은 농림축산식품부 및 과학기술정보통신부, 농촌진흥청의 재원으로 농림식품기술기획평가원과 재단법인 스마트팜연구개발사업단의 스마트팜다부처패키지혁신기술개발사업의 지원을 받아 연구되었음(과제고유번호 421001-03, 농촌진흥청 과제번호 PJ016439202206).

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