APPLICATION
In this paper, the hyperspectral data of the test object were collected by using the hyperspectral imager Gaia-Field (spectral range 400 nm -1000 nm) of Jiangsu Shuangli Hepu Technology Co. Ltd.
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.
Water is the source of life, and as the blood of the ecosystem, it is the basis of human survival, production and life, and sufficient and high-quality water resources are the primary condition for the healthy cycle of the ecosystem. However, water resources are very vulnerable to pollution, especially some inland water bodies, due to the natural confinement of its pollution problem is more prominent, while water resources as a carrier of pollutants, with dynamic diffusion and spread characteristics, will further aggravate the degree of pollution of water bodies. There are many oceans and lakes in China, along with the rapid development of the economy and the enhancement of human activities, the problem of water quality pollution in oceans and lakes has become increasingly serious. It has become a key factor limiting the sustainable development of cities, so it is necessary to use high-tech means to carry out research on water quality pollution in oceans and lakes, to provide timely and rapid water quality conditions in oceans and lakes, to protect people's normal production and life.
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.
Raman spectrum is the fingerprint spectrum of molecular vibration. Different material molecules have different vibration frequency, so it is often used as an important basis for material identification. It has the advantages of simple operation, high sensitivity and good repeatability. In this paper, through the Raman spectrometer quantitative analysis of silica dust samples, through the experiment to prove the feasibility of its application in the field of analysis of dust.