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小型西瓜品质近红外无损检测的光谱信息采集

韩东海 常冬 宋曙辉 蒋圣楠 赵洪卫

农业机械学报2013,Vol.44Issue(7):174-178,5.
农业机械学报2013,Vol.44Issue(7):174-178,5.DOI:10.6041/j.issn.1000-1298.2013.07.030

小型西瓜品质近红外无损检测的光谱信息采集

Information Collection of Mini Watermelon Quality Using Near-infrared Non-destructive Detection

韩东海 1常冬 2宋曙辉 3蒋圣楠 4赵洪卫1

作者信息

  • 1. 中国农业大学食品科学与营养工程学院,北京100083
  • 2. 中粮营养健康研究院食品质量与安全中心,北京100020
  • 3. 北京市农林科学院蔬菜研究中心,北京100097
  • 4. 中国农业大学信息与电气工程学院,北京100083
  • 折叠

摘要

Abstract

In order to achieve the fast and non-destructive detection of mini watermelon quality during growth process,the basic information collection methods for fruit measuring were analyzed quantitatively.The PLS modeling results showed that both the tissue water content and soluble solids content could obtain good results at the top position and the equator.The modeling performance had some differences with basic chemical information at different depths,but both the tissue water content and soluble solids content could got the best results in the middle information area which was under 2 ~ 3 cm from the rind.The correlation coefficients of tissue water content at the top location and the equator were 0.953 and 0.924,and the RMSEP were 0.510 and 0.766,respectively.The correlation coefficients of soluble solid content at the top location and the equator were 0.952 and 0.929,and the RMSEP were 0.666 and 0.732,respectively.For the mini Jingxiu watermelon,the best foundation information area for NIR detection was the middle area.

关键词

小型西瓜/近红外/无损检测/信息采集

Key words

Mini watermelon/Near-infrared/Non-destructive detection/Information collection

分类

化学化工

引用本文复制引用

韩东海,常冬,宋曙辉,蒋圣楠,赵洪卫..小型西瓜品质近红外无损检测的光谱信息采集[J].农业机械学报,2013,44(7):174-178,5.

基金项目

国家自然科学基金资助项目(31071555)和现代农业产业技术体系建设专项资金资助项目(CARS-26-22) (31071555)

农业机械学报

OA北大核心CSCDCSTPCD

1000-1298

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