한국포장학회지 (KOREAN JOURNAL OF PACKAGING SCIENCE & TECHNOLOGY)

한국포장학회 (Korea Society of Packaging Science and Technology)
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Quality Estimation of Net Packaged Onions during Storage Periods using Machine Learning Techniques

  • Nandita Irsaulul, Nurhisna (Department of Biosystems Engineering, Seoul National University) ;
  • Sang-Yeon, Kim (Department of Biosystems Engineering, Seoul National University) ;
  • Seongmin, Park (Department of Biosystems Engineering, Seoul National University) ;
  • Suk-Ju, Hong (Department of Biosystems Engineering, Seoul National University) ;
  • Eungchan, Kim (Department of Biosystems Engineering, Seoul National University) ;
  • Chang-Hyup, Lee (Department of Biosystems Engineering, Seoul National University) ;
  • Sungjay, Kim (Department of Biosystems Engineering, Seoul National University) ;
  • Jiwon, Ryu (Department of Biosystems Engineering, Seoul National University) ;
  • Seungwoo, Roh (Department of Biosystems Engineering, Seoul National University) ;
  • Daeyoung, Kim (Department of Biosystems Engineering, Seoul National University) ;
  • Ghiseok, Kim (Department of Biosystems Engineering, Seoul National University)
  • 투고 : 2022.11.21
  • 심사 : 2022.12.14
  • 발행 : 2022.12.31
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초록

Onions are a significant crop in Korea, and cultivation is increasing every year along with high demand. Onions are planted in the fall and mainly harvested in June, the rainy season, therefore, physiological changes in onion bulbs during long-term storage might have happened. Onions are stored in cold room and at adequate relative humidity to avoid quality loss. In this study, bio-yield stress and weight loss were measured as the quality parameters of net packaged onions during 10 weeks of storage, and the storage environmental conditions are monitored using sensor networks systems. Quality estimation of net packaged onion during storage was performed using the storage environmental condition data through machine learning approaches. Among the suggested estimation models, support vector regression method showed the best accuracy for the quality estimation of net packaged onions.

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과제정보

This study was supported by the Rural Development Administration (RDA) through the Cooperative Research Program for Agriculture Science & Technology Development Program (Project No. PJ015618032021).

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