A Time Series Dataset of NIR Spectra and RGB and NIR-HSI Images of the Barley Germination Process
This dataset enables time series analysis of barley germination for agricultural research, but it is incremental as it primarily offers new data rather than novel methods.
The authors tackled the problem of analyzing barley germination by providing an open-source dataset of 2242 individual malting barley kernels, including RGB and NIR-HSI images with segmentation masks and NIR spectra, collected over five days to label germination status.
We provide an open-source dataset of RGB and NIR-HSI (near-infrared hyperspectral imaging) images with associated segmentation masks and NIR spectra of 2242 individual malting barley kernels. We imaged every kernel pre-exposure to moisture and every 24 hours after exposure to moisture for five consecutive days. Every barley kernel was labeled as germinated or not germinated during each image acquisition. The barley kernels were imaged with black filter paper as the background, facilitating straight-forward intensity threshold-based segmentation, e.g., by Otsu's method. This dataset facilitates time series analysis of germination time for barley kernels using either RGB image analysis, NIR spectral analysis, NIR-HSI analysis, or a combination hereof.