Potential of Fluorescence Index Derived from the Slope Characteristics of Laser-Induced Chlorophyll Fluorescence Spectrum for Rice Leaf Nitrogen Concentration Estimation

Leaf nitrogen concentration (LNC) is a major biochemical parameter for estimating photosynthetic efficiency and crop yields. Laser-induced fluorescence, which is a promising potential technology, has been widely used to estimate the growth status of crops with the help of multivariate analysis. In t...

Full description

Bibliographic Details
Main Authors: Jian Yang, Lin Du, Shuo Shi, Wei Gong, Jia Sun, Biwu Chen
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Applied Sciences
Subjects:
Online Access:http://www.mdpi.com/2076-3417/9/5/916
_version_ 1819141179346780160
author Jian Yang
Lin Du
Shuo Shi
Wei Gong
Jia Sun
Biwu Chen
author_facet Jian Yang
Lin Du
Shuo Shi
Wei Gong
Jia Sun
Biwu Chen
author_sort Jian Yang
collection DOAJ
description Leaf nitrogen concentration (LNC) is a major biochemical parameter for estimating photosynthetic efficiency and crop yields. Laser-induced fluorescence, which is a promising potential technology, has been widely used to estimate the growth status of crops with the help of multivariate analysis. In this study, a fluorescence index was proposed based on the slope characteristics of fluorescence spectrum and was used to estimate LNC. Then, the performance of different fluorescence characteristics (proposed fluorescence index, fluorescence ratios, and fluorescence characteristics calculated by principal component analysis (PCA)) for LNC estimation was analyzed based on back-propagation neural network (BPNN) model. The proposed fluorescence index exhibited more stability and reliability for LNC estimation than fluorescence ratios and characteristics calculated by PCA. In addition, the effect of different kernel functions and hidden layer sizes of BPNN model on the accuracy of LNC estimation was discussed for different fluorescence characteristics. The optimal train functions “trainrp,” “trainbr,” and “trainlm” were then selected with higher R2 and lower standard deviation (SD) values than those of other train functions. In addition, experimental results demonstrated that the hidden layer size has a smaller impact on the accuracy of LNC estimation than the kernel function of the BPNN model.
first_indexed 2024-12-22T11:50:20Z
format Article
id doaj.art-497bba521a8b4d95bed6b1a98f6ed347
institution Directory Open Access Journal
issn 2076-3417
language English
last_indexed 2024-12-22T11:50:20Z
publishDate 2019-03-01
publisher MDPI AG
record_format Article
series Applied Sciences
spelling doaj.art-497bba521a8b4d95bed6b1a98f6ed3472022-12-21T18:27:00ZengMDPI AGApplied Sciences2076-34172019-03-019591610.3390/app9050916app9050916Potential of Fluorescence Index Derived from the Slope Characteristics of Laser-Induced Chlorophyll Fluorescence Spectrum for Rice Leaf Nitrogen Concentration EstimationJian Yang0Lin Du1Shuo Shi2Wei Gong3Jia Sun4Biwu Chen5Faculty of Information Engineering, China University of Geosciences, Wuhan 430074, Hubei, ChinaFaculty of Information Engineering, China University of Geosciences, Wuhan 430074, Hubei, ChinaState Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, Hubei, ChinaState Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, Hubei, ChinaState Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, Hubei, ChinaState Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, Hubei, ChinaLeaf nitrogen concentration (LNC) is a major biochemical parameter for estimating photosynthetic efficiency and crop yields. Laser-induced fluorescence, which is a promising potential technology, has been widely used to estimate the growth status of crops with the help of multivariate analysis. In this study, a fluorescence index was proposed based on the slope characteristics of fluorescence spectrum and was used to estimate LNC. Then, the performance of different fluorescence characteristics (proposed fluorescence index, fluorescence ratios, and fluorescence characteristics calculated by principal component analysis (PCA)) for LNC estimation was analyzed based on back-propagation neural network (BPNN) model. The proposed fluorescence index exhibited more stability and reliability for LNC estimation than fluorescence ratios and characteristics calculated by PCA. In addition, the effect of different kernel functions and hidden layer sizes of BPNN model on the accuracy of LNC estimation was discussed for different fluorescence characteristics. The optimal train functions “trainrp,” “trainbr,” and “trainlm” were then selected with higher R2 and lower standard deviation (SD) values than those of other train functions. In addition, experimental results demonstrated that the hidden layer size has a smaller impact on the accuracy of LNC estimation than the kernel function of the BPNN model.http://www.mdpi.com/2076-3417/9/5/916Laser-induced fluorescencefluorescence indexBPNNleaf nitrogen concentrationtrain function
spellingShingle Jian Yang
Lin Du
Shuo Shi
Wei Gong
Jia Sun
Biwu Chen
Potential of Fluorescence Index Derived from the Slope Characteristics of Laser-Induced Chlorophyll Fluorescence Spectrum for Rice Leaf Nitrogen Concentration Estimation
Applied Sciences
Laser-induced fluorescence
fluorescence index
BPNN
leaf nitrogen concentration
train function
title Potential of Fluorescence Index Derived from the Slope Characteristics of Laser-Induced Chlorophyll Fluorescence Spectrum for Rice Leaf Nitrogen Concentration Estimation
title_full Potential of Fluorescence Index Derived from the Slope Characteristics of Laser-Induced Chlorophyll Fluorescence Spectrum for Rice Leaf Nitrogen Concentration Estimation
title_fullStr Potential of Fluorescence Index Derived from the Slope Characteristics of Laser-Induced Chlorophyll Fluorescence Spectrum for Rice Leaf Nitrogen Concentration Estimation
title_full_unstemmed Potential of Fluorescence Index Derived from the Slope Characteristics of Laser-Induced Chlorophyll Fluorescence Spectrum for Rice Leaf Nitrogen Concentration Estimation
title_short Potential of Fluorescence Index Derived from the Slope Characteristics of Laser-Induced Chlorophyll Fluorescence Spectrum for Rice Leaf Nitrogen Concentration Estimation
title_sort potential of fluorescence index derived from the slope characteristics of laser induced chlorophyll fluorescence spectrum for rice leaf nitrogen concentration estimation
topic Laser-induced fluorescence
fluorescence index
BPNN
leaf nitrogen concentration
train function
url http://www.mdpi.com/2076-3417/9/5/916
work_keys_str_mv AT jianyang potentialoffluorescenceindexderivedfromtheslopecharacteristicsoflaserinducedchlorophyllfluorescencespectrumforriceleafnitrogenconcentrationestimation
AT lindu potentialoffluorescenceindexderivedfromtheslopecharacteristicsoflaserinducedchlorophyllfluorescencespectrumforriceleafnitrogenconcentrationestimation
AT shuoshi potentialoffluorescenceindexderivedfromtheslopecharacteristicsoflaserinducedchlorophyllfluorescencespectrumforriceleafnitrogenconcentrationestimation
AT weigong potentialoffluorescenceindexderivedfromtheslopecharacteristicsoflaserinducedchlorophyllfluorescencespectrumforriceleafnitrogenconcentrationestimation
AT jiasun potentialoffluorescenceindexderivedfromtheslopecharacteristicsoflaserinducedchlorophyllfluorescencespectrumforriceleafnitrogenconcentrationestimation
AT biwuchen potentialoffluorescenceindexderivedfromtheslopecharacteristicsoflaserinducedchlorophyllfluorescencespectrumforriceleafnitrogenconcentrationestimation