In the past 20 years, hyperspectral imaging has been widely investigated as an emerging,
promising technology for evaluating quality and safety of horticultural products. This …

Abstract Visible-near-infrared (Vis-NIR) spectral imaging holds great promise for the
automatic detection of fruit defects. However, uneven brightness resulting from fruit geometry …

Featured Application The results from this work demonstrate the effective use of machine
vision and learning technologies to support the development and implementation of smart …

Recent advancements in high-throughput phenotyping have led to the use of drones with
RGB sensors for evaluating plant traits. This study explored the relationships between …

This study demonstrates a method to select wavelength-specific spectral resolutions to
optimize a line-scan hyperspectral imaging method for its intended use, which in this case …

Peaches are easily bruising during all stages of postharvest handling, maturity can affect the
characteristics and detection of bruising, which is directly related to the quality and shelf life …

Near-infrared (NIR) imaging is effective in monitoring the optical property changes of fruit
arising from mechanical damage. However, differences in fruit geometry and size severely …

The whole‐surface hyperspectral image acquisition of navel orange is particularly important
for surface defect detection and quality classification. Because the light intensity at the edge …

Highlights•Hyperspectral images can be improved by treating objects as more than flat
surfaces.•With Lambertian behaviour assumed, wheat is corrected by prolate spheroids.• …

Conducting hyperspectral imaging of fruit'entire surfaces while simultaneously evaluating
their physical properties, such as volume and mass, can provide a richer dataset for …