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

RESEARCH VERTICAL DISTRIBUTION OF CHLOROPHYLL CONTENT OF WHEAT LEAVES USING IMAGING HYPERSPECTRA

文献类型： 外文期刊

作者： Zhang, Dongyan 1 ; Wang, Xiu 1 ; Ma, Wei 1 ; Zhao, Chunjiang 1 ;

作者机构： 1.Beijing Res Ctr Informat Technol Agr, Beijing, Peoples R China

2.Anhui Univ, Coll Elect Informat & Engn, Hefei, Peoples R China

关键词： pushbroom imaging spectrometer;image-spectrum merging technology;PLS;leaf;chlorophyll content

期刊名称：INTELLIGENT AUTOMATION AND SOFT COMPUTING （ 影响因子：1.647； 五年影响因子：1.469 ）

ISSN： 1079-8587

年卷期： 2012 年 18 卷 8 期

页码：

收录情况： SCI

摘要： Chlorophyll content is an important indicator for judging crop photosynthesis ability and monitoring growth status. Hyperspectral imaging is one of the hot spots in quantitative remote sensing research. As an image-spectrum merging technology, it could be used to explore and develop new methods for diagnosing of crop nutrition, diseases and insect pests. In this study, an auto-development pushbroom imaging spectrometer (PIS) was applied to measure the chlorophyll content of wheat leaves. The tested sites of spectrum and the chlorophyll content measured positions were on the same area of single leaf. Partial least square (PLS) regression was used to establish prediction models of chlorophyll content. The model accuracy of single leaf with values from different positions was evaluated; and the model accuracy of leaves from different layers was also studied. The results showed that the model of the leaf with 2, 4, 6 sites was better than that of 1, 3, 5 sites; those models of leaves from vertical levels were medium layer > upper layer > lower layer; the predicting accuracy of the whole layers was the highest. To sum up, as a new technology, hyperspectral imaging can be used to accurately monitor the crop growth situation on single leaf; and the theories would be founded to survey optimal position for measuring chlorophyll content and explore vertical distribution of crop nutrition, especially when leaves are suffered from shortage of element, diseases and insect pests.

  • 相关文献

[1]Study on the optimal algorithm prediction of corn leaf component information based on hyperspectral imaging. Wu, Qiong,Xu, Tongyu,Wu, Qiong,Wang, Jihua,Wang, Cheng. 2016

[2]基于近红外光谱的梨果糖浓度无损检测系统. 王伟明,张文涛,董大明,熊显名. 2012

[3]A Comparative Study on Monitoring Leaf-scale Wheat Aphids using Pushbroom Imaging and Non-imaging ASD Field Spectrometers. Zhao, Jin-Ling,Zhang, Dong-Yan,Luo, Ju-Hua,Yang, Hao,Huang, Lin-Sheng,Huang, Wen-Jiang,Zhang, Dong-Yan. 2012

[4]Wavelet-based threshold denoising for imaging hyperspectral data. Yang Hao,Zhang Dongyan,Huang Linsheng,Zhao Jinling,Yang Hao,Zhang Dongyan,Zhang Dongyan,Huang Linsheng,Zhao Jinling. 2014

[5]Studying on red edge characteristics of maize leaf using visible/near-infrared imaging hyperspectra. Zhang, Dongyan,Liao, Qinhong,Huang, Linsheng,Zhao, Jinling,Du, Shizhou,Ma, Zhihong. 2011

[6]Pretreatment Method of Near-Infrared Diffuse Reflection Spectra Used for Sugar Content Prediction of Pears. Wang Wei-ming,Dong Da-ming,Zheng Wen-gang,Zhao Xian-de,Jiao Lei-zi,Wang Ming-fei,Wang Wei-ming,Wang Ming-fei. 2013

[7]Monitoring of Winter Wheat Aboveground Fresh Biomass Based on Multi-Information Fusion Technology. Zheng Ling,Dong Da-ming,Zhang Bao-hua,Wang Cheng,Zhao Chun-jiang,Zheng Ling,Zhu Da-zhou. 2016

[8]HYPERSPECTRAL IMAGE FOR DISCRIMINATING APHID AND APHID DAMAGE REGION OF WINTER WHEAT LEAF. Luo Juhua,Huang Wenjiang,Guan Qingsong,Zhao Jinling,Zhang Jingcheng. 2013

[9]Morphological Diversity in Native Apricot Germplasm Resources of China and Grading Standards for the Foliar and Fruit Traits. Sun Haoyuan,Zhang Junhuan,Wang Yuzhu,Jiang Fengchao. 2011

[10]HYPERSPECTRAL IMAGE FOR DISCRIMINATING APHID AND APHID DAMAGE REGION OF WINTER WHEAT LEAF. Luo Juhua,Huang Wenjiang,Guan Qingsong,Zhao Jinling,Zhang Jingcheng. 2013

[11]Morphological Diversity in Native Apricot Germplasm Resources of China and Grading Standards for the Foliar and Fruit Traits. Sun Haoyuan,Zhang Junhuan,Wang Yuzhu,Jiang Fengchao. 2011

[12]A Study on Anatomical Structure of Leaves and Fruits in Ziziphus jujuba 'Jingzao 39'. Pan, Q. H.,Zhang, Y. P.,Li, H. L..

[13]Estimation of carotenoid content at the canopy scale using the carotenoid triangle ratio index from in situ and simulated hyperspectral data. Kong, Weiping,Huang, Wenjiang,Zhou, Xianfeng,Kong, Weiping,Zhou, Xianfeng,Song, Xiaoyu,Casa, Raffaele. 2016

[14]Assessment of Chlorophyll Content Using a New Vegetation Index Based on Multi-Angular Hyperspectral Image Data. Liao Qin-hong,Zhang Dong-yan,Liao Qin-hong,Zhang Dong-yan,Wang Ji-hua,Yang Gui-jun,Yang Hao,Liao Qin-hong,Zhang Dong-yan,Wang Da-cheng,Craig, Coburn,Wong Zhijie. 2014

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