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Continuous Wavelet Transform and Back Propagation Neural Network for Condition Monitoring Chlorophyll Fluorescence Parameters Fv/Fm of Rice Leaves

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成果类型:
期刊论文
作者:
Wen, Shuangya;Shi, Nan;Lu, Junwei;Gao, Qianwen;Hu, Wenrui;...
通讯作者:
Junwei Lu
作者机构:
[Shi, Nan; Lu, Jianxiang; Hu, Wenrui; Cao, Zhengdengyuan; Gao, Zhiqiang; Yang, Huibin; Wen, Shuangya; Lu, Junwei; Gao, Qianwen] Hunan Agr Univ, Coll Agron, Changsha 410128, Peoples R China.
[Lu, Junwei] Hunan Agr Univ, Orient Sci & Technol Coll, Changsha 410128, Peoples R China.
通讯机构:
[Junwei Lu] C
College of Agronomy, Hunan Agricultural University, Changsha 410128, China<&wdkj&>Orient Science & Technology College, Hunan Agricultural University, Changsha 410128, China<&wdkj&>Author to whom correspondence should be addressed.
语种:
英文
关键词:
rice (Oryza sativa L.);hyperspectral reflectance;vegetation index;chlorophyll fluorescence parameters;continuous wavelet transform;back propagation neural network
期刊:
Agriculture-Basel
ISSN:
2077-0472
年:
2022
卷:
12
期:
8
页码:
1197-
基金类别:
Conceptualization, Z.G., S.W., J.L. (Junwei Lu) and N.S.; methodology, S.W.; software, S.W.; validation, S.W., N.S. and Q.G.; formal analysis, S.W.; investigation, S.W., N.S., W.H., J.L. (Jianxiang Lu) and Z.C.; resources, S.W., Q.G., J.L. (Junwei Lu) and Z.G.; data curation, S.W.; writing—original draft preparation, S.W.; writing—review and editing, S.W. and J.L. (Junwei Lu); visualization, S.W. and W.H.; supervision, J.L. (Junwei Lu) and H.Y.; project administration, Z.G. and J.L. (Junwei Lu); funding acquisition, Z.G. All authors have read and agreed to the published version of the manuscript. This research was funded by the National Key Research and Development Program of China, grant number 2017YFD0301506.
机构署名:
本校为第一机构
院系归属:
农学院
东方科技学院
摘要:
The chlorophyll fluorescence parameter Fv/Fm (maximum photosynthetic efficiency of optical system II) is an intrinsic index for exploring plant photosynthesis. Hyperspectral remote sensing technology can be used for rapid nondestructive detection of chlorophyll fluorescence parameters. Existing studies show that there is a good correlation between the vegetation index and Fv/Fm. However, due to the limited hyperspectral information reflected by the vegetation index, the established model often cannot reach the ideal accuracy. Therefore, this st...

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