Measurement of soil phosphorus sorption parameters (PSPs) provides crucial information
on P fertilization and P leaching. Traditional approaches for determining these indices are …

Building machine learning (ML) calibrations using near-infrared (NIR) soil spectroscopy
direct in agricultural areas (online NIR), soil attributes can be fine-scale mapped in a faster …

The increasing global demand for agricultural products, food, and energy requires a
sustainable and secure approach to agricultural production. Soil nutrition is vital for …

In soil science, near-infrared (NIR) spectra are being largely tested to acquire data directly in
the field. Machine learning (ML) models using these spectra can be calibrated, adding only …

Precision agriculture (PA) is based on the identification of spatial and temporal variability of
the attributes that influence agricultural production. In this sense, techniques that allow …