As a result of public pressure and government legislation to reduce plastic waste there has
been a sharp rise in the manufacture and use of alternatives to conventional plastics …

Vegetation mapping requires accurate information to allow its use in applications such as
sustainable forest management against the effects of climate change and the threat of …

Detection of illegal additives in wheat flour is of crucial practical significance to ensure the
market order and people's health. In this study, the potential of hyperspectral imaging in 900 …

Minced meat substitution is one of the most common forms of food fraud in the meat industry.
Recently, Hyperspectral Imaging (HSI) has been used for the classification and identification …

Changes in chlorophyll content can be a good indicator of disease as well as nutritional and
environmental stresses on plants. Several pre-processing techniques have been proposed …

This study aimed to compare the moisture content (MC) uniformity of ginger slices subjected
to microwave-vacuum drying (MVD) and hot-air drying (HAD) and discriminate MVD ginger …

Deep learning (DL) being popularly used in computer vision applications is still in its early
stage in chemometric domain for spectral image processing. Often the challenge is that …

Thanks to its richness in extractable features, Hyperspectral images (HSI) find an
accelerated use in medical, industrial, agricultural, and environmental fields. In this paper …

In the UK waste management systems biodegradable and compostable packaging are not
automatically detected and separated. As a result, their fate is generally landfill or …

Time series spectral imaging facilitates a comprehensive understanding of the underlying
dynamics of multi-component systems and processes. Most existing classification strategies …