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Items: 1 to 20 of 99

1.

Selection of the optimal bands of first-derivative fluorescence characteristics for leaf nitrogen concentration estimation.

Yang J, Cheng Y, Du L, Gong W, Shi S, Sun J, Chen B.

Appl Opt. 2019 Jul 20;58(21):5720-5727. doi: 10.1364/AO.58.005720.

PMID:
31503871
2.

Analyzing the performance of the first-derivative fluorescence spectrum for estimating leaf nitrogen concentration.

Yang J, Du L, Gong W, Shi S, Sun J, Chen B.

Opt Express. 2019 Feb 18;27(4):3978-3990. doi: 10.1364/OE.27.003978.

PMID:
30876021
3.

Estimating the leaf nitrogen content of paddy rice by using the combined reflectance and laser-induced fluorescence spectra.

Yang J, Du L, Sun J, Zhang Z, Chen B, Shi S, Gong W, Song S.

Opt Express. 2016 Aug 22;24(17):19354-65. doi: 10.1364/OE.24.019354.

PMID:
27557214
4.

Effect of fluorescence characteristics and different algorithms on the estimation of leaf nitrogen content based on laser-induced fluorescence lidar in paddy rice.

Yang J, Sun J, Du L, Chen B, Zhang Z, Shi S, Gong W.

Opt Express. 2017 Feb 20;25(4):3743-3755. doi: 10.1364/OE.25.003743.

PMID:
28241586
5.

Potential of spectral ratio indices derived from hyperspectral LiDAR and laser-induced chlorophyll fluorescence spectra on estimating rice leaf nitrogen contents.

Du L, Shi S, Yang J, Wang W, Sun J, Cheng B, Zhang Z, Gong W.

Opt Express. 2017 Mar 20;25(6):6539-6549. doi: 10.1364/OE.25.006539.

PMID:
28381001
6.

Potential of vegetation indices combined with laser-induced fluorescence parameters for monitoring leaf nitrogen content in paddy rice.

Yang J, Du L, Gong W, Shi S, Sun J, Chen B.

PLoS One. 2018 Jan 17;13(1):e0191068. doi: 10.1371/journal.pone.0191068. eCollection 2018.

7.

Assessing the Impact of Spatial Resolution on the Estimation of Leaf Nitrogen Concentration Over the Full Season of Paddy Rice Using Near-Surface Imaging Spectroscopy Data.

Zhou K, Cheng T, Zhu Y, Cao W, Ustin SL, Zheng H, Yao X, Tian Y.

Front Plant Sci. 2018 Jul 5;9:964. doi: 10.3389/fpls.2018.00964. eCollection 2018.

8.

[Quantitative relationships between leaf total nitrogen concentration and canopy reflectance spectra of rice].

Zhou DQ, Tian YC, Yao X, Zhu Y, Cao WX.

Ying Yong Sheng Tai Xue Bao. 2008 Feb;19(2):337-44. Chinese.

PMID:
18464640
9.

Hyperspectral-based Estimation of Leaf Nitrogen Content in Corn Using Optimal Selection of Multiple Spectral Variables.

Fan L, Zhao J, Xu X, Liang D, Yang G, Feng H, Yang H, Wang Y, Chen G, Wei P.

Sensors (Basel). 2019 Jun 30;19(13). pii: E2898. doi: 10.3390/s19132898.

10.

Analyzing the performance of fluorescence parameters in the monitoring of leaf nitrogen content of paddy rice.

Yang J, Gong W, Shi S, Du L, Sun J, Song S, Chen B, Zhang Z.

Sci Rep. 2016 Jun 28;6:28787. doi: 10.1038/srep28787.

11.

Evaluation of hyperspectral LiDAR for monitoring rice leaf nitrogen by comparison with multispectral LiDAR and passive spectrometer.

Sun J, Shi S, Gong W, Yang J, Du L, Song S, Chen B, Zhang Z.

Sci Rep. 2017 Jan 16;7:40362. doi: 10.1038/srep40362.

12.

UAV-based hyperspectral analysis and spectral indices constructing for quantitatively monitoring leaf nitrogen content of winter wheat.

Zhu H, Liu H, Xu Y, Guijun Y.

Appl Opt. 2018 Sep 20;57(27):7722-7732. doi: 10.1364/AO.57.007722.

PMID:
30462034
13.

Hyperspectral characteristic analysis for leaf nitrogen content in different growth stages of winter wheat.

Haiying L, Hongchun Z.

Appl Opt. 2016 Dec 1;55(34):D151-D161. doi: 10.1364/AO.55.00D151.

PMID:
27958448
14.

The Effect of Chlorophyll Concentration of Paddy Rice on the Fluorescence Spectrum.

Yang J, Gong W, Shi S, Du L, Sun J, Song SL, Ma YY.

Guang Pu Xue Yu Guang Pu Fen Xi. 2016 Oct;36(10):3410-3.

PMID:
30247001
15.

Development of an Apparatus for Crop-Growth Monitoring and Diagnosis.

Ni J, Zhang J, Wu R, Pang F, Zhu Y.

Sensors (Basel). 2018 Sep 17;18(9). pii: E3129. doi: 10.3390/s18093129.

16.

Estimating rice chlorophyll content and leaf nitrogen concentration with a digital still color camera under natural light.

Wang Y, Wang D, Shi P, Omasa K.

Plant Methods. 2014 Nov 6;10(1):36. doi: 10.1186/1746-4811-10-36. eCollection 2014.

17.

Analysing the effect of paddy rice variety on fluorescence characteristics for nitrogen application monitoring.

Shen C, Feng Z, Zhou D.

R Soc Open Sci. 2018 Jun 27;5(6):180485. doi: 10.1098/rsos.180485. eCollection 2018 Jun.

18.
19.

The characterization of plant species using first-derivative fluorescence spectra.

Yang J, Shi S, Gong W, Du L, Sun J, Song S.

Luminescence. 2017 May;32(3):348-352. doi: 10.1002/bio.3185. Epub 2016 Jul 26.

PMID:
27457681
20.

Monitoring ratio of carbon to nitrogen (C/N) in wheat and barley leaves by using spectral slope features with branch-and-bound algorithm.

Xu X, Yang G, Yang X, Li Z, Feng H, Xu B, Zhao X.

Sci Rep. 2018 Jul 3;8(1):10034. doi: 10.1038/s41598-018-28351-8.

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