The application of GS spectroscopy can provide technical support for rapid monitoring and contamination evaluation of soil heavy metal content in agricultural fields on a large scale, and provide technical and theoretical support for further application of airborne or satellite-based hyperspectral remote sensing for quantitative monitoring of soil heavy metal contamination. There are still many objective factors that have yet to be resolved in the field monitoring of soil heavy metal content. When acquiring GS spectral data, the influence of meteorological conditions such as wind size, solar altitude angle, cloud limit or the particle size of the soil itself, the flatness of the soil surface, moisture content, etc. can affect the acquisition of spectral data
Based on rice tillering stage of agricultural precision fertilizer as the research object, using unmanned aerial vehicle imaging hyperspectral remote sensing image of nitrogen concentration inversion model is established through the PSO -ELM, comprehensive consideration of agricultural related operation parameters, combined with the experts recommend fertilization build according to standard field, build the precision fertilizer model, finally using unmanned aerial vehicle precision fertilizer in agriculture.
The 900-1700nm band contains more information about the composition of meat, which is more reflective of the characteristics of meat and may be more suitable for the identification of meat adulteration. In order to expand the comprehensiveness and applicability of the model, the test should be extended to the long-wave NIR band (1700-2500nm). Further validation is needed.
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.
In this study, two types of hyperspectral cameras, visible NIR and short-wave NIR, were used to classify different varieties of tobacco and stem filaments. It is clear from the analysis of the study that the visible NIR camera is not ideal in the classification study of tobacco and stem filaments, and can only distinguish flake filaments, but the short-wave NIR camera is more ideal in the classification study of tobacco and tobacco filaments，it can also effectively resolve tobacco, stem tobacco, flake tobacco Stemmed tobacco 158, Stemmed tobacco 160, and roughly distinguished expanded tobacco. The results of the study lay the foundation for further application of imaging hyperspectral technology in the tobacco industry.