In precision agriculture the lack of affordable methods for mapping relevant soil attributes is a fundamental problem. It restricts the development and application of advanced models and algorithms for decision making. The project “I4S - Integrated System for Site-Specific Soil Fertility Management” combines new sensing technologies with dynamic soil-crop models and decision support systems. Using sensors with different measurement principles improves the estimation of soil fertility parameters such as plant available K, P, Mg, humus and soil texture. However, involving many sensors can cause technical difficulties and is expensive. Choosing the appropriate set of sensors will become an important aspect of decision making in precision agriculture.
