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Written by monzurul82 in Uncategorized
Apr 9 th, 2020
References. Wang Y, Wang D, Shi P, Omasa K.
rn. Plant Solutions 10 , 36.
(doi:10. Yang H, Li J, Yang J, Wang H, Zou J. rn.
PLoS Just one nine , e88421. (doi:ten. pone.
0088421) Crossref, PubMed, ISI, Google Scholar. Ata-Ul-Karim ST, Cao Q, Zhu Y, Tang L, Rehmani MIA, Cao W. rn. Front.
Plant Sci. (doi:ten. 01829) Crossref, PubMed, ISI, Google Scholar.
Ling Q, Huang W, Jarvis P. rn. Photosynth. Res.
(doi:ten. Lin FF, Deng JS, Shi YY, Chen LS, Wang K. rn. Comput. Electron.
Agric. (doi:10. compag.
09. 006) Crossref, ISI, Google Scholar. Ravier C, Quemada M, Jeuffroy MH. rn. Subject Crops Res. (doi:10. fcr.
08. 023) Crossref, ISI, Google Scholar. Liu ZA, Yang JP, Yang ZC. rn. J. Soil Sci. Plant Nutr. (doi:ten. Xie L, Ying Y, Ying T. rn. J. Agric. Foodstuff Chem. (doi:10. Du L, Gong W, Shi S, Yang J, Sunshine J, Zhu B, Tune S. 2016 Estimation of rice leaf nitrogen contents based on hyperspectral LIDAR . Int. J. Appl. Earth Obs. Geoinf. (doi:10. jag. 08. 008) Crossref, Google Scholar. Nidamanuri RR, Zbell B. rn. Geocarto Int. (doi:10. Jin X, Li Z, Feng H, Xu X, Yang G. rn. IEEE J. Sel. Major. Appl. Earth Obs. Distant Sens. (doi:10. Du L, Gong W, Yang J. 2018 Application of spectral indices and reflectance spectrum on leaf nitrogen material http://plantidentification.biz/ investigation derived from hyperspectral LiDAR knowledge . Choose. Laser Technol. (doi:ten. optlastec. 06. 019) Crossref, ISI, Google Scholar. Hunt ER, Daughtry CS, Li L. rn. Int. J. Remote Sens. (doi:ten. 2016 Estimating crop chlorophyll information with hyperspectral vegetation indices and the hybrid inversion method . Int. J. Distant Sens. (doi:10. Tartachnyk II, Rademacher I, Kühbauch W. rn. Precis. Agric. (doi:ten. Thoren D, Schmidhalter U. rn. Eur. J. Agron. (doi:10. eja. 001) Crossref, ISI, Google Scholar. 2018 Big difference and probable of the upward and downward solar-induced chlorophyll fluorescence on detecting leaf nitrogen concentration in wheat . Distant Sens. (doi:ten. Yang J, Gong W, Shi S, Du L, Solar J, Tune SL, Chen BW, Zhang ZB. 2016 Analyzing the efficiency of fluorescence parameters in the checking of leaf nitrogen written content of paddy rice . Sci. Rep. (doi:10. Yang J, Du L, Gong W, Sun J, Shi S, Chen BW. 2017 Application of the chlorophyll fluorescence ratio in analysis of paddy rice nitrogen position . Plant Soil Approximativement. (doi:10. Du L, Shi S, Yang J, Solar J, Gong W. 2016 Making use of various regression techniques to estimate leaf nitrogen information in rice by fusing hyperspectral LiDAR details and laser-induced chlorophyll fluorescence knowledge . Distant Sens. (doi:ten. Yang J, Du L, Gong W, Shi S, Sun J, Chen B. 2018 Potential of vegetation indices mixed with laser-induced fluorescence parameters for monitoring leaf nitrogen information in paddy rice . PLoS 1 thirteen , e0191068. (doi:ten. pone. 0191068) PubMed, ISI, Google Scholar. Du L, Shi S, Yang J, Wang W, Sunlight J, Cheng BW, Zhang ZB, Gong W. 2017 Likely of spectral ratio indices derived from hyperspectral LiDAR and laser-induced chlorophyll fluorescence spectra on estimating rice leaf nitrogen contents . Opt. Express 25 , 6539-6549. (doi:ten. 006539) Crossref, PubMed, ISI, Google Scholar. Tian YC, Yao X, Yang J, Cao WX, Hannaway DB, Zhu Y. rn. Discipline Crops Res.
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