您好，欢迎访问北京市农林科学院 机构知识库！
北京市农林科学院机构知识库

全部

  • 全部
  • 标题
  • 学者
  • 机构
  • 关键词

The Optimal Local Model Selection for Robust and Fast Evaluation of Soluble Solid Content in Melon with Thick Peel and Large Size by Vis-NIR Spectroscopy

文献类型： 外文期刊

作者： Zhang, Dongyan 1 ; Xu, Lu 1 ; Wang, Qingyan 2 ; Tian, Xi 2 ; Li, Jiangbo 2 ;

作者机构： 1.Anhui Univ, Minist Educ, Key Lab Intelligent Comp & Signal Proc, Hefei 230039, Anhui, Peoples R China

2.Beijing Res Ctr Intelligent Equipment Agr, Beijing 100097, Peoples R China

关键词： Vis-NIR spectroscopy; Melon; Soluble solid content (SSC); Optimal detection position selection

期刊名称：FOOD ANALYTICAL METHODS （ 影响因子：3.366； 五年影响因子：3.07 ）

ISSN： 1936-9751

年卷期： 2019 年 12 卷 1 期

页码：

收录情况： SCI

摘要： Soluble solid content (SSC) is one of the most important factors determining the quality and price of fresh fruits. However, the accurate assessment of SSC in some kinds of fruits with thick peel and large size is relatively difficult because it is important to select a suitable measurement position on this type of fruit. In this study, Hami' melon was used as the object of study, the visible and near-infrared (Vis-NIR) spectroscopy with spectral range of 550-950nm was acquired from three positions (calyx, equator, and stem) of each sample to observe the effect of measurement positions on SSC assessment of whole Hami' melon. Three local models (calyx-region, equator-region, and stem-region models) and one global model based on the partial least squares (PLS) were developed with different preprocessing methods. Comparing all the established models, the results showed that the equator-region model and global model had the similar predictive performance which was better than ones of calyx-region and stem-region models. For improving the performance of models, the equator-region model and global model were further optimized based on different variable selection algorithms, including competitive adaptive reweighted sampling (CARS), uninformative variable elimination (UVE), combination algorithm CARS-SPA (successive projections algorithm), and combination algorithm UVE-SPA, respectively. And also, the linear multispectral PLS models and the nonlinear multispectral least squares support vector machine (LSSVM) models were established and compared using those selected characteristic variables, respectively. The results indicated that the performance of equator-region multispectral models was slightly superior to those of global multispectral models, and the optimal equator-region multispectral models were UVE-SPA-PLS (R-P=0.9143 and RMSEP=0.8359) and CARS-SPA-LSSVM (R-P=0.9134 and RMSEP=0.8958). The overall results indicated that it was feasible to develop the models using only the equator position information for detecting the SSC of whole Hami' melon. This study can provide some valuable references for building a fast and robust multispectral prediction model for SSC assessment in some kinds of fruits with thick peel and large size such as watermelon.

  • 相关文献
作者其他论文 更多>>
置顶
购物车
反馈

© 京ICP备09089781号-29 主办单位：北京市农林科学院

学术资源： 中国农业科学院 农业专业知识服务系统 农科联盟资源共建共享平台 中国农业科技文献与信息服务平台 中国农业期刊集成服务平台