Soil Proximal and Remote Sensing

This project is focused in soil nutrients management using remote and proximal techniques. Nutrient management poses a significant challenge for farmers. The various steps involved in collecting samples and transporting them to the laboratory are not only time-consuming but also labor-intensive, resulting in potentially high associated costs, especially in large fields. Additionally, the conventional approach, often involving a single sample per hectare as a standard commercial practice, falls short in capturing the spatial variability of soil properties across the entire field. Addressing these issues, precision agriculture tools offer a promising solution, streamlining the process, and delivering reliable data without the need for extensive laboratory analysis. The main objective of this project is integrate precision agriculture tools with laboratory analyzed data to predict soil properties and nutrients, correlating with the laboratorial soil analysis to see if we will be able to use the tools without the necessity of lab analysis. The novelty on this will be the data fusion of all this tools correlated to the soil lab analysis. This will be done with a range of tools like UAV’s imagery, hyperspectral sensor, color sensor and some soil scanners such as Veris Enterprise tools. We hope that this project can create an easy, fast and clean way to get nutrients and property soil data.