Soil sensing in precision agriculture by laser-induced breakdown spectroscopy and multivariate regression methods.

Abstract

Samples of agricultural soil were analyzed by LIBS and evaluated by multivariate methods. The multivariate models provided reliable predictions of total and plant-available nutrient contents and the soil parameters humus content, pH and texture.