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Estimating leaf chlorophyll content in tobacco based on various canopy hyperspectral parameters

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Abstract

Hyperspectra is a non-destructive measure for estimating crop leaf chlorophyll content (LCC). In this paper, the quantitative relations between LCC and three kinds of canopy hyperspectral parameters in tobacco were investigated. The results indicated that a linear relationship of LCC with the raw spectral reflectance at 732 nm and an exponential relationship of LCC with first order differential spectra at 837 nm were performed to estimate LCC, giving R2 of 0.845 and 0.881, RMSE of 0.366 mg g− 1 and 0.301 mg g− 1, and RE of 18.34% and 15.62%, respectively, and both could serve as optimal techniques to estimate tobacco LCC. Nevertheless, the better one was (SDr−SDy)/(SDr + SDy) with R2 = 0.948, RMSE = 0.127 mg g− 1, and RE = 9.31%, respectively, indicating that (SDr−SDy)/(SDr + SDy) was suitable to estimate LCC. These results suggest that the new normalized variable (SDr−SDy)/(SDr + SDy) to estimate LCC, which is more effective than raw spectral reflectance, first order differential spectra and red edge spectral parameters.

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Acknowledgements

The authors acknowledge A Project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD), Chenyan F31262016014 and the National Natural Science Foundation of China (Grant No. 41271415).

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Correspondence to Changwei Tan or Qiang Li.

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Guo, T., Tan, C., Li, Q. et al. Estimating leaf chlorophyll content in tobacco based on various canopy hyperspectral parameters. J Ambient Intell Human Comput 10, 3239–3247 (2019). https://doi.org/10.1007/s12652-018-1043-5

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  • DOI: https://doi.org/10.1007/s12652-018-1043-5

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