The number of samples used in the calibration data set affects the quality of the generated
predictive models using visible, near and shortwave infrared (VIS–NIR–SWIR) spectroscopy …

Considering the hypothesis that the predictive capacity of models is tied to soil
characteristics, the stratification of a spectral library into groups is a strategy to improve the …

Resource‐efficient techniques for accurate soil property estimation are necessary to satisfy
the increasing demand for soil data to support environmental monitoring, precision …

Determinations of soil carbon and nitrogen stocks are important to evaluate land fertility and
agricultural potential and because of their influence on the global climate. Spectroscopic …

More accurate models for the prediction of soil organic carbon (SOC) by visible-near-
infrared (Vis-NIR) spectroscopy remains a challenging task, especially when the soil …

In Brazil, most guidelines for soil nitrogen (N) fertilization are based on the soil organic
matter (SOM) content, which is one of the most laborious and expensive parameters in …

Soil texture is very important information for various agricultural, environmental, and
geological research areas, however, it has been difficult to obtain data through proximal …

Proximal and remote sensors are emerging as powerful sources of soil spectral information
at an array of temporal and spatial resolutions. This study investigated clay content …

Including environmental covariates, when available, can be a valuable strategy for
achieving higher soil predictive performance, but it is still unknown whether environmental …

The success of soil prediction by VIS-NIR-SWIR spectroscopy has led to considerable
investment in large soil spectral libraries. The aims of this study were 1) to develop a soil VIS …