지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록· 키워드
오류제보하기
The mean sugar content of a whole bunch of grapes and the mean sugar content distribution pattern by parts were investigated in order to determine the NIR scanning area for evaluating grape sugar content. The coefficient of determination between the mean sugar content of 20 berries (10 berries from the upper part and 10 berries from the middle part) and the mean sugar content of the whole bunch of grapes was 0.9038 and, the maen sugar content of 20 berries was close to that of the whole bunch of grapes. Thus, if prediction model is made for the non-destructive grape sugar content by the NIR spectroscopy by acquiring each spectrum of the upper part and the middle part, this sugar content representing the that of whole bunch of grapes. The sugar content evaluation model was made by using the PLS regression. As a result of conducting the sugar content evaluation test on campbell early grapes grown in a vinyl house, the standard error of calibration(SEC) was 0.40 brix, and the sugar content predictive accuracy (SEP) was 0.48 brix. As a result of conducting the sugar content evaluation test on campbell early grapes grown in outdoors, the SEC was 0.51 brix, and the sugar content predictive accuracy (SEP) was 0.62 brix, which was a little higher than the grapes grown in the vinyl house. Meanwhile, in order to investigate the reproducibility of the measured sugar content data, the sugar content of the same sample was repeatedly measured 3 times. As a result, the coefficient of determination was 0.8685 and 0.8457, showing that the repetitive error was small. The mean standard deviation was 0.21 brix.The mean sugar content of a whole bunch of grapes and the mean sugar content distribution pattern by parts were investigated in order to determine the NIR scanning area for evaluating grape sugar content. The coefficient of determination between the mean sugar content of 20 berries (10 berries from the upper part and 10 berries from the middle part) and the mean sugar content of the whole bunch of grapes was 0.9038 and, the maen sugar content of 20 berries was close to that of the whole bunch of grapes. Thus, if prediction model is made for the non-destructive grape sugar content by the NIR spectroscopy by acquiring each spectrum of the upper part and the middle part, this sugar content representing the that of whole bunch of grapes. The sugar content evaluation model was made by using the PLS regression. As a result of conducting the sugar content evaluation test on campbell early grapes grown in a vinyl house, the standard error of calibration(SEC) was 0.40 brix, and the sugar content predictive accuracy (SEP) was 0.48 brix. As a result of conducting the sugar content evaluation test on campbell early grapes grown in outdoors, the SEC was 0.51 brix, and the sugar content predictive accuracy (SEP) was 0.62 brix, which was a little higher than the grapes grown in the vinyl house. Meanwhile, in order to investigate the reproducibility of the measured sugar content data, the sugar content of the same sample was repeatedly measured 3 times. As a result, the coefficient of determination was 0.8685 and 0.8457, showing that the repetitive error was small. The mean standard deviation was 0.21 brix.
목차
등록된 정보가 없습니다.
참고문헌 (0)
참고문헌 신청이 논문의 저자 정보
최근 본 자료
댓글(0)
0