Research on Estimation of Wheat Chlorophyll Using Image Processing Technology

Research on Estimation of Wheat Chlorophyll Using Image Processing Technology

In the field environment, the chlorophyll values of wheat leaves are estimated based on image processing. The estimation model of wheat color features and SPAD(chlorophyll value) is established. The model is tested by applying them into five different nitrogen fields, and the experimental results sh...

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Bibliographic Details
Main Authors: Zhou Liya, Yuan Yingchun, Song Yufei, Wang Bin
Format: Article
Language:English
Published: EDP Sciences 2017-01-01
Series:MATEC Web of Conferences
Online Access:https://doi.org/10.1051/matecconf/201712801007
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spelling doaj-65d1d06d6e264475a9e6182a0e7bf3082021-02-02T04:10:15ZengEDP SciencesMATEC Web of Conferences2261-236X2017-01-011280100710.1051/matecconf/201712801007matecconf_eitce2017_01007Research on Estimation of Wheat Chlorophyll Using Image Processing TechnologyZhou LiyaYuan YingchunSong YufeiWang BinIn the field environment, the chlorophyll values of wheat leaves are estimated based on image processing. The estimation model of wheat color features and SPAD(chlorophyll value) is established. The model is tested by applying them into five different nitrogen fields, and the experimental results show that the actual value and the estimated value of the model are correlated with high significance.https://doi.org/10.1051/matecconf/201712801007
collection DOAJ
language English
format Article
sources DOAJ
author Zhou Liya
Yuan Yingchun
Song Yufei
Wang Bin
spellingShingle Zhou Liya
Yuan Yingchun
Song Yufei
Wang Bin
Research on Estimation of Wheat Chlorophyll Using Image Processing Technology
MATEC Web of Conferences
author_facet Zhou Liya
Yuan Yingchun
Song Yufei
Wang Bin
author_sort Zhou Liya
title Research on Estimation of Wheat Chlorophyll Using Image Processing Technology
title_short Research on Estimation of Wheat Chlorophyll Using Image Processing Technology
title_full Research on Estimation of Wheat Chlorophyll Using Image Processing Technology
title_fullStr Research on Estimation of Wheat Chlorophyll Using Image Processing Technology
title_full_unstemmed Research on Estimation of Wheat Chlorophyll Using Image Processing Technology
title_sort research on estimation of wheat chlorophyll using image processing technology
publisher EDP Sciences
series MATEC Web of Conferences
issn 2261-236X
publishDate 2017-01-01
description In the field environment, the chlorophyll values of wheat leaves are estimated based on image processing. The estimation model of wheat color features and SPAD(chlorophyll value) is established. The model is tested by applying them into five different nitrogen fields, and the experimental results show that the actual value and the estimated value of the model are correlated with high significance.
url https://doi.org/10.1051/matecconf/201712801007
work_keys_str_mv AT zhouliya researchonestimationofwheatchlorophyllusingimageprocessingtechnology
AT yuanyingchun researchonestimationofwheatchlorophyllusingimageprocessingtechnology
AT songyufei researchonestimationofwheatchlorophyllusingimageprocessingtechnology
AT wangbin researchonestimationofwheatchlorophyllusingimageprocessingtechnology
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