2022
DOI: 10.3390/agronomy12071729
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Estimation of Leaf Area Index and Above-Ground Biomass of Winter Wheat Based on Optimal Spectral Index

Abstract: Leaf area index (LAI) and above-ground biomass are both vital indicators for evaluating crop growth and development, while rapid and non-destructive estimation of crop LAI and above-ground biomass is of considerable significance for crop field management. Owing to the advantages of repeatable and high-throughput observations, spectral technology provides a feasible method for obtaining LAI and above-ground biomass of crops. In the present study, the spectral, LAI and above-ground biomass data of winter wheat w… Show more

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Cited by 32 publications
(30 citation statements)
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“…Grid search was then applied to optimize the SVM parameters, penalty coefficient C, and γ. Based on the principle of minimizing cross-validation error, the values of C and γ were determined as 30 and 0.05, respectively (Tang et al, 2022).…”
Section: Model Methodsmentioning
confidence: 99%
See 4 more Smart Citations
“…Grid search was then applied to optimize the SVM parameters, penalty coefficient C, and γ. Based on the principle of minimizing cross-validation error, the values of C and γ were determined as 30 and 0.05, respectively (Tang et al, 2022).…”
Section: Model Methodsmentioning
confidence: 99%
“…The Savitzky–Golay convolution smoothing approach was used to minimize background noise, baseline drift, stray light, and extraneous information on the hyperspectral reflectance curves (Tang et al., 2022). A quadratic polynomial with a smoothing point of 9 was used for function fitting and noise reduction through filtering.…”
Section: Methodsmentioning
confidence: 99%
See 3 more Smart Citations