Cost-Optimised Soil Sampling for Precision Agriculture

This project develops a cost-optimized soil sampling methodology for precision agriculture, leveraging spatial data analysis and statistical methods to enable site-specific nutrient application. The approach processes high-density spatial data to improve yield optimization and reduce costs, supporting sustainable farming practices. Designed for integration into individualized farming systems, the protocol delivers accurate, affordable soil data, enhancing decision-making for farmers. Backed by economic modeling and EU funding, the methodology promotes widespread adoption of precision farming, contributing to long-term soil health and economic sustainability. Available through EU-FarmBook.