APPLICATION
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.
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.
为践行“舌尖中国、安全你我”,卓立汉光开发了食品安全快速检测系统来构筑群众健康食品的第一道防火墙,该系统将最新的SERS技术与潜心研制的高灵敏度拉曼光谱仪相结合, 可让“微含量、微残留、微添加”等危害民众健康的物质无法遁形。