Over the past-decade, agricultural products (such as vegetables and fruits) have been
reported as the major vehicles for foodborne diseases, which are limiting food resources …

On a global scale, food safety and security aspects entail consideration throughout the farm-
to-fork continuum, considering food's supply chain. Generally, the agrifood system is a …

The study aims to investigate the impacts of internal and external stakeholder pressures on
the adoption of circular economy (CE) principles. The study explores the primary barriers to …

Patch features obtained by fixed convolution kernel have become the main form in
hyperspectral image (HSI) classification processing. However, the fixed convolution kernel …

In the last decade, the hyperspectral imaging (HSI) method allowed performing non-invasive
analysis in the field of cultural heritage. However, a considerable limitation was given by …

Effective testing is essential to control the coronavirus disease 2019 (COVID-19)
transmission. Here we report a-proof-of-concept study on hyperspectral image analysis in …

This work investigates non-contact reflectance spectral imaging techniques, ie microscopic
Fourier transform infrared (FTIR) imaging, macroscopic visible-near infrared (VNIR), and …

Objective To conduct a proof-of-concept study of the detection of two synthetic models of
severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) using polarimetric imaging …

The article provides up-to-date information on the latest Measurement and Signature
Intelligence (MASINT) technologies to face Chemical, Biological, Radiological, Nuclear and …

Hyperspectral imaging analyzed by machine learning algorithms is a powerful tool to
classify materials, tissues, molecules and pathogens. By analyzing the electromagnetic …