Mismanagement of plastic waste globally has resulted in a multitude of environmental
issues, which could be tackled by boosting plastic recycling rates. Chemometrics has …

Significance Spectral imaging, which includes hyperspectral and multispectral imaging, can
provide images in numerous wavelength bands within and beyond the visible light …

High-resolution hyperspectral imaging is becoming indispensable, enabling the precise
detection of spectral variations across complex, spatially intricate targets. However, despite …

Deep learning-based hyperspectral image (HSI) classification has attracted more and more
attention because of its excellent classification ability. Generally, the outstanding …

Hyperspectral image (HSI) synthesis overcomes the limitations of imaging sensors and
enables low-cost acquisition of HSIs with high spatial resolution. Using RGB as a conditional …

Recent advances in smartphone technologies have opened the door to the development of
accessible, highly portable sensing tools capable of accurate and reliable data collection in …

Climate change pose significant challenges to modern agriculture management systems,
threatening food production and security. Therefore, tackling its effects has never been so …

OpenHSI is an initiative to lower the barriers of entry and bring compact pushbroom
hyperspectral imaging spectrometers to a wider audience. We present an open-source …

Hyperspectral Imaging (HSI) techniques have demonstrated potential to provide useful
information in a broad set of applications in different domains, from precision agriculture to …

We compared two approaches to non-invasive proximal sensing of the early changes in
fresh-cut lettuce leaf quality: hyperspectral imaging and imaging of variable chlorophyll …