Background Combined assessment of leaf reflectance and transmittance is currently limited
to spot (point) measurements. This study introduces a tailor-made hyperspectral absorption …

Highlights•HSI is an automated, non-destructive and rapid alternative to explore plant
traits.•It acquires both chemical and structural information related with plant …

The detection and identification of plant diseases is crucial for an appropriate and targeted
application of plant protection measures in crop production. Recently, intensive research …

The detection of plant diseases, including fungi, is a major challenge for reducing yield gaps
of crops across the world. We explored the potential of the PROCOSINE radiative transfer …

Scattering from a leaf responds differently at different wavelengths to changes in leaf
properties such as pigment concentrations, chemical constituents, internal structure, and leaf …

Hyperspectral imaging (HSI) offers high potential as a non-invasive diagnostic tool for
disease detection. In this paper leaf characteristics and spectral reflectance of sugar beet …

Radiative transfer models have long been used to characterize the foliar content at the leaf
and canopy levels. However, they still do not apply well to close-range imaging …

The potential of close-range hyperspectral imaging (HSI) as a tool for detecting early
drought stress responses in plants grown in a high-throughput plant phenotyping platform …

Environmental conditions are very changeable; fluctuations in temperature, precipitation,
illumination intensity, and other factors can decrease a plant productivity and crop. The …

Hyperspectral/multiangular data allow the retrieval of important vegetation properties at
canopy level, such as the Leaf Area Index (LAI) and Leaf Chlorophyll Content. Current …