Hyperspectral imaging (HSI) combines spectroscopy and imaging, providing information
about the chemical properties of a material and their spatial distribution. It represents an …

Abstract Near Infrared Spectroscopy (NIRS) analysis at the single seed level is a useful tool
for breeders, farmers, feeding facilities, and food companies according to current …

Spectrum preprocessing is an essential component in the near‐infrared (NIR) calibration.
However, it has mostly been configured arbitrarily in the literature and calibration …

Hyperspectral imaging (HSI) combines Near-infrared (NIR) spectroscopy and digital imaging
to give information about the chemical properties of objects and their spatial distribution …

In spectroscopy, multivariate calibrations more than often include a pre-processing step to
reduce the effect of unwanted (not Y-related) sources of variability. Because there are many …

Spectral preprocessing techniques can, to a certain extent, eliminate irrelevant information,
such as current noise and stray light from spectral data, thereby enhancing the performance …

The selection of a descriptor, X, is crucial for improving the interpretation and prediction
accuracy of a regression model. In this study, the prediction accuracy of models constructed …

In a breeding programme for quality improvement of cereals, crossbred lines are propagated
and selected from generation to generation until desirable properties are obtained. The lines …

Maize is a highly important crop to many countries around the world, through the sale of the
maize crop to domestic processors and subsequent production of maize products and also …

Due to its suitability to be processed in wide range of final products, wheat has an upmost
significance among all cereals. The global wheat marketing are becoming increasingly …