PROJECTS
Design and validation of a rapid and economical method based on Vis-NIR spectroscopy for the rapid diagnosis of COVID-19.
Creation of a predictive model based on multivariate analysis and satellite remote sensing to determine tree species, density, and distribution in forested areas using VIS-NIR hyperspectral images from ESA’s Sentinel-2 satellites.
Development of a rapid and effective method based on Vis-NIR spectroscopy to ensure the quality of raw materials of forest origin and to ensure or improve the organoleptic quality of wines.
Development of an innovative quality control method for charcoal briquettes based on Vis-NIR technology.
PROJECTS
Design and validation of a rapid and economical method based on Vis-NIR spectroscopy for the rapid diagnosis of COVID-19.
Creation of a predictive model based on multivariate analysis and satellite remote sensing to determine tree species, density, and distribution in forested areas using VIS-NIR hyperspectral images from ESA’s Sentinel-2 satellites.
Development of a rapid and effective method based on Vis-NIR spectroscopy to ensure the quality of raw materials of forest origin and to ensure or improve the organoleptic quality of wines.
Development of an innovative quality control method for charcoal briquettes based on Vis-NIR technology.