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Estimation model of chlorophyll content of flue-cured tobacco based on hyperspectral

Chlorophyll is an important pigment for photosynthesis in green plants,affecting the exchange of material and energy between the crop and the outside world and the accumulation of material in the crop. The level of its content is an important indicator of the photosynthetic efficiency,developmental status and the roasting process of the plant, so the estimation of chlorophyll content in tobacco leaves is an effective means of monitoring the roasting status of roasted tobacco leaves. At the same time, there is a strong link between the chlorophyll content of crop leaves and the reflectance spectrum of the crop. Hyperspectral has the characteristics of multiple wavelength bands, unity of plot and high resolution, which fuse two-dimensional images and spectral techniques into three-dimensional mapping information. Chlorophyll detection by hyperspectral imaging is safe, fast, non-destructive and quantitative, and has great potential for the detection of chlorophyll content in large areas of leaves.

Fluorescence Spectrometer

Modular Raman Spectrometer

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Spectrograph & Monochromator

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Hyperspectral Imaging Camera

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Optical Breadboards&Tables

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GaiaSky-mini based monitoring of heavy metal contamination in agricultural soils

Precision fertilization by UAV for rice at tillering stage in cold region based on hyperspectral remote sensing prescription map

Visualization of lamb adulteration based on hyperspectral imaging

Estimation model of chlorophyll content of flue-cured tobacco based on hyperspectral

Classification of tobacco stalk filaments based on imaging hyperspectral techniques

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