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Quality Estimation of Net Packaged Onions during Storage Periods using Machine Learning Techniques

첫 페이지 보기
  • 발행기관
    한국포장학회 바로가기
  • 간행물
    한국포장학회지 KCI 등재 바로가기
  • 통권
    Vol. 28 No. 3 (2022.12)바로가기
  • 페이지
    pp.237-244
  • 저자
    Nandita Irsaulul Nurhisna, Sang-Yeon Kim, Seongmin Park, Suk-Ju Hong, Eungchan Kim, Chang-Hyup Lee, Sungjay Kim, Jiwon Ryu, Seungwoo Roh, Daeyoung Kim, Ghiseok Kim
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A420990

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초록

영어
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.

목차

Abstract
Introduction
Material and Method
1. Sample and Equipment
2. Quality Attributes measurement
3. Prediction Model
Result and Discussion
1. Onion Quality Analysis
2. Prediction Model
Conclusions
References

저자

  • Nandita Irsaulul Nurhisna [ Department of Biosystems Engineering, Seoul National University, Integrated Major in Global Smart Farm, Seoul National University ]
  • Sang-Yeon Kim [ Department of Biosystems Engineering, Seoul National University ]
  • Seongmin Park [ Department of Biosystems Engineering, Seoul National University, Research Institute of Agriculture and Life Science, Seoul National University ]
  • Suk-Ju Hong [ Department of Biosystems Engineering, Seoul National University, Integrated Major in Global Smart Farm, Seoul National University ]
  • Eungchan Kim [ Department of Biosystems Engineering, Seoul National University, Integrated Major in Global Smart Farm, Seoul National University ]
  • Chang-Hyup Lee [ Department of Biosystems Engineering, Seoul National University, Integrated Major in Global Smart Farm, Seoul National University ]
  • Sungjay Kim [ Department of Biosystems Engineering, Seoul National University, Integrated Major in Global Smart Farm, Seoul National University ]
  • Jiwon Ryu [ Department of Biosystems Engineering, Seoul National University, Integrated Major in Global Smart Farm, Seoul National University ]
  • Seungwoo Roh [ Department of Biosystems Engineering, Seoul National University, Integrated Major in Global Smart Farm, Seoul National University ]
  • Daeyoung Kim [ Department of Biosystems Engineering, Seoul National University, Integrated Major in Global Smart Farm, Seoul National University ]
  • Ghiseok Kim [ Department of Biosystems Engineering, Seoul National University, Integrated Major in Global Smart Farm, Seoul National University, Research Institute of Agriculture and Life Science, Seoul National University ] Corresponding Author

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    한국포장학회 [Korea Society Of Packaging Science & Technology]
  • 설립연도
    1994
  • 분야
    공학>기타공학
  • 소개
    포장기술의 학문적인 발전을 도모하고 국내포장산업의 기술수준 제고를 위하여 선진포장기술 유입의 창구역할을 함

간행물

  • 간행물명
    한국포장학회지 [Journal of Korea Society of Packaging Science & Technology]
  • 간기
    연3회
  • pISSN
    1226-0207
  • 수록기간
    1994~2026
  • 등재여부
    KCI 등재
  • 십진분류
    KDC 530 DDC 620

이 권호 내 다른 논문 / 한국포장학회지 Vol. 28 No. 3

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