• 검색어에 아래의 연산자를 사용하시면 더 정확한 검색결과를 얻을 수 있습니다.
  • 검색연산자
검색연산자 기능 검색시 예
() 우선순위가 가장 높은 연산자 예1) (나노 (기계 | machine))
공백 두 개의 검색어(식)을 모두 포함하고 있는 문서 검색 예1) (나노 기계)
예2) 나노 장영실
| 두 개의 검색어(식) 중 하나 이상 포함하고 있는 문서 검색 예1) (줄기세포 | 면역)
예2) 줄기세포 | 장영실
! NOT 이후에 있는 검색어가 포함된 문서는 제외 예1) (황금 !백금)
예2) !image
* 검색어의 *란에 0개 이상의 임의의 문자가 포함된 문서 검색 예) semi*
"" 따옴표 내의 구문과 완전히 일치하는 문서만 검색 예) "Transform and Quantization"
쳇봇 이모티콘
ScienceON 챗봇입니다.
궁금한 것은 저에게 물어봐주세요.

논문 상세정보

가시광선/근적외선 분광분석법을 이용한 사과의 당도 및 경도 측정

Prediction of Soluble Solid and Firmness in Apple by Visible/Near-Infrared Spectroscopy


The objectives of this study were to examine the ability to predict soluble solid and firmness in intact apples based on the visible/near-infrared spectroscopic technique. Two cultivars of apples, Delicious and Gala, were handled, tested and analyzed separately. Reflectance spectra, Magness-Tayor (MT) firmness, and soluble solids in apples were measured sequentially. Maximum and minimum diameters, height, and weight of apples were recorded before the MT firmness tests. A spectrophotometer was used to collect reflectance spectra of intact apples over a wavelength range of 400 to 2, 498 nm. The W firmness tests were conducted using a standard 11.1mm (7/16 in.) MT probe mounted in an Instron universal testing machine. A digital refractormeter was used to measure soluble solid contents in the apples. Apple samples were divided into a calibration set and a prediction set. The calibration set was used during model development, and the prediction set was used to predict soluble solids and firmness from unknown spectra. The method of partial least square (PLS) analysis was used. An unique set of PLS loading vectors (factors) was developed for soluble solid content and firmness. The PLS model showed good correlations between predicted and measured soluble solids of intact apples in 860~1078 nm of the wavelengths. However, the PLS analysis was not good enough to predict the apple firmness.

참고문헌 (0)

  1. 이 논문의 참고문헌 없음

이 논문을 인용한 문헌 (4)

  1. 2002. "Compensation of Surface Temperature Effect in Determination of Sugar Content of Shingo Pears using NIR" 한국농업기계학회지 = Journal of the Korean Society for Agricultural Machinery, 27(2): 117~124 
  2. Kim, Young-Tae ; Suh, Sang-Ryong 2008. "Comparison of Performance of Models to Predict Hardness of Tomato using Spectroscopic Data of Reflectance and Transmittance" 바이오시스템공학 = Journal of biosystems engineering, 33(1): 63~68 
  3. Kim, Dae-Yong ; Cho, Byoung-Kwan ; Mo, Chang-Yeun ; Kim, Young-Sik 2010. "Study on Prediction of Internal Quality of Cherry Tomato using Vis/NIR Spectroscopy" 바이오시스템공학 = Journal of biosystems engineering, 35(6): 450~457 
  4. Lee, Kyeong-Hwan ; Suh, Sang-Ryong ; Yu, Seung-Hwa ; Yoo, Soo-Nan ; Choi, Young-Soo 2011. "Prediction of Pear Fruit Firmness by Analysis of Laser-induced Light Backscattering Images" 바이오시스템공학 = Journal of biosystems engineering, 36(5): 369~376 


원문 PDF 다운로드

  • ScienceON :

원문 URL 링크

원문 PDF 파일 및 링크정보가 존재하지 않을 경우 KISTI DDS 시스템에서 제공하는 원문복사서비스를 사용할 수 있습니다. (원문복사서비스 안내 바로 가기)

상세조회 0건 원문조회 0건

DOI 인용 스타일