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Estimating Chlorophyll Fluorescence Parameters of Rice (Oryza sativa L.) Based on Spectrum Transformation and a Joint Feature Extraction Algorithm

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成果类型:
期刊论文
作者:
Wen, Shuangya;Shi, Nan;Lu, Junwei;Gao, Qianwen;Yang, Huibing;...
通讯作者:
Junwei Lu
作者机构:
[Shi, Nan; Yang, Huibing; Gao, Zhiqiang; 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 of Hunan Agricultural University, Changsha 410128, China<&wdkj&>Author to whom correspondence should be addressed.
语种:
英文
关键词:
back propagation neural network;chlorophyll fluorescence parameters;competitive adaptative reweighted sampling;correlation coefficient method;Fv/Fm;hyperspectral;rice;spectrum transform
期刊:
Agronomy
ISSN:
2073-4395
年:
2023
卷:
13
期:
2
页码:
337-
基金类别:
Conceptualization, J.L. and Z.G.; data curation, S.W., N.S. and Q.G.; formal analysis, S.W.; funding acquisition, Z.G.; investigation, S.W., N.S. and Q.G.; methodology, J.L.; project administration, Z.G.; resources, Q.G. and H.Y.; supervision, J.L.; validation, H.Y.; visualization, S.W.; writing—original draft, S.W.; writing—review and editing, J.L. All authors have read and agreed to the published version of the manuscript. This study was funded by the National Key Research and Development Program of China (Gao Zhiqiang, 2018YFD0301006).
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 plays a significant role in indicating the photosynthetic function of plants. The existing technical methods used to measure Fv/Fm are often inefficient and cumbersome. To realize fast and non-destructive monitoring of Fv/Fm, this study took rice under different fertilizer treatments and measured the hyperspectral reflectance information and Fv/Fm data of rice leaves during the whole growth period. Five spectral transformation methods were used to pre-process the spectral data. Then, spectral charact...

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