洋梨硬度的便携式可见/近红外漫透射检测技术
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

基金项目:


Evaluation of European Pear (Pyrus communis L.) Firmness Based on Portable Vis/NIR Transmittance Technique
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    采用便携式可见/近红外检测仪快速检测阿巴特、康佛伦斯和五九香梨硬度。采集洋梨漫透射光谱(500~1010nm),经二阶导数和卷积平滑处理后,分别建立偏最小二乘法和多元线性回归模型。相关系数法和遗传算法用于选择偏最小二乘法建模变量,预测均方差分别为7.780N和8.080N,相对预测误差分别为26.24%和29.71%。多元线性回归模型使用7个变量,预测均方差和相对预测误差分别为7.740N和26.10%。结果表明:建立多品种洋梨硬度全局模型是可行的,便携式仪器可用于洋梨硬度现场检测。

    Abstract:

    A portable visible (Vis)/near infrared (NIR) spectrometer was performed on pears (Pyrus communis L.) cv ‘Abate’, ‘Conference’ and ‘Wujiuxiang’ for firmness assessment by diffused transmittance technique. One set of 96 pears were used to explore the performance of this technique on developing global firmness models with partial least squares (PLS) and multiple linear regression (MLR) methods. The spectra were treated by 2nd order derivation with Savitsky–Golay (polynomial order 2, data point 25). Genetic algorithms partial least squares (GA-PLS) and regression coefficient method were used to select informative variable for PLS calibration. The global models were obtained by PLS to predict firmness yield the root mean standard error of prediction (RMSEP) of 7.780N and 8.080N, and the relative standard deviation of prediction (RSD) of 26.24% and 29.71%, respectively. The global model for firmness measurement was also obtained by MLR with RMSEP of 7.740N and RSD of 26.10%, respectively. The results highlight the potential of portable Vis/NIR instruments for assessing internal quality of European pear on-site.

    参考文献
    相似文献
    引证文献
引用本文

王加华,陈卓,李振茹,韩东海.洋梨硬度的便携式可见/近红外漫透射检测技术[J].农业机械学报,2010,41(11):129-133.

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期:
  • 出版日期: