The fine-scale mapping of soil organic matter (SOM) in croplands is vital for the sustainable
management of soil. Traditionally, SOM mapping relies on laboratory methods that are labor …

In precision agriculture, soil spectroscopy has become an invaluable tool for rapid, low-cost,
and nondestructive diagnostic approaches. Various instrument configurations are utilized to …

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

The recent technologies employed for rapid, cost-effective, and non-destructive prediction of
soil particle size distribution (clay, sand, and silt) are becoming increasingly interesting …

The study was carried out to derive pedotransfer (PTFs) and spectrotransfer (STF) functions
to estimate soil organic matter (SOM) content measured by time-consuming and expensive …

En la literatura científica actual se discute ampliamente acerca de la predicción de
propiedades edáficas mediante información espectral. El objetivo de esta revisión fue …

Monitoring and assessment of soil organic carbon (SOC) are critical for maintaining and
enhancing the productivity of agricultural soils. The SOC is commonly determined through …

Visible and near-infrared (VIS-NIR) spectroscopy is extensively used in the field of soil
science to predict several soil properties, mostly in laboratory conditions. When measured in …

Data from proximal soil sensors can facilitate digital soil mapping at high spatial resolutions.
However, their use for predicting static soil properties, such as texture, is affected by spatio …

We present a data-driven, in situ proximal multi-sensor digital soil mapping approach to
develop digital twins for multiple agricultural fields. A novel Digital Soil CoreTM (DSC) Probe …