글로버메뉴 바로가기 본문 바로가기 하단메뉴 바로가기

논문검색은 역시 페이퍼서치

> 한국농업기계학회 > 한국농업기계학회 학술발표논문집 > 26권 2호

Nondestructive Prediction of Anthocyanin Content of Pigmented Soybean Seeds using Hyperspectral Near-infrared imaging

Nondestructive Prediction of Anthocyanin Content of Pigmented Soybean Seeds using Hyperspectral Near-infrared imaging

( Rizkiana Aulia ) , ( Hanim Z. Amanah ) , ( Wang-hee Lee ) , ( Byoung-kwan Cho )

- 발행기관 : 한국농업기계학회

- 발행년도 : 2021

- 간행물 : 한국농업기계학회 학술발표논문집, 26권 2호

- 페이지 : pp.273-273 ( 총 1 페이지 )


학술발표대회집, 워크숍 자료집 중 1,2 페이지 논문은 ‘요약’만 제공되는 경우가 있으니,

구매 전에 간행물명, 페이지 수 확인 부탁 드립니다.

1,000
논문제목
초록(외국어)
Chemical composition-based seed inspection on a real-time, non-destructive, and precise basis is important for establishing industries that maximize product cost and quality. Among the chemical compositons of soyean, anthocyanin has many benefits for health such as antioxidants and anti-inflammatory. The objective of this study was to investigate the feasibility of near-infrared hyperspectral imaging (NIR-HSI) for the prediction of anthocyanin content in soybeans. The NIR-HSI system with a wavelength of 895-2504 nm was used to acquire images of eighty-two samples of soybean seeds. The extracted spectral data was synchronized with the soybean anthocyanin reference value, which was determined using high-performance liquid chromatography (HPLC). The calibration models revealed R2 of 0.81 with standard error (SEC) of 0.14 for the prediction of anthocyanin concentrations. This study showed the potential of NIR-HSI to be applied for the prediction of anthocyanin content in soybean seeds.

논문정보
  • - 주제 : 농학분야 > 농공학
  • - 발행기관 : 한국농업기계학회
  • - 간행물 : 한국농업기계학회 학술발표논문집, 26권 2호
  • - 발행년도 : 2021
  • - 페이지 : pp.273-273 ( 총 1 페이지 )
  • - UCI(KEPA) : I410-ECN-0102-2022-500-000881922
저널정보
  • - 주제 : 농학분야 > 농공학
  • - 성격 : 학술발표
  • - 간기 : 반년간
  • - 국내 등재 : -
  • - 해외 등재 : -
  • - ISSN :
  • - 수록범위 : 1996–2022
  • - 수록 논문수 : 4889