Data and imagery for optimization of soil background removal to improve the prediction of wheat traits with UAV imagery

This dataset includes agronomic and spectral information from field experiments conducted in Aranjuez (Central Spain) with winter wheat (Triticum aestivum L.) in 2019. The total number of experiments was four and comprises 133 plots with various combinations of water and nitrogen applications. The agronomic data are summarized in an Excel file and contains the crop yield, protein content and N exported in the wheat grain (N output) at harvest in July. The Excel file includes also the average of the spectral indices (NDVI, MSAVI, NDRE and BRI) for each plot. The spectral indices were extracted from the images acquired with a multiespectral camera mounted on an unmanned aerial vehicle in March, April and May. The original images are available under reasonable request to the authors. More detail about these data can be found in the article entitled 'Optimization of soil background removal to improve the prediction of wheat traits with UAV imagery' published in Computers and Electronics in Agriculture by Almeida et al. in 2023.