Application of New Technologies and Data Science

As machines and a variety of sensors have taken hold in the rural world, farm data has grown exponentially in quantity and scope. Agricultural processes are increasingly data-driven and designed to take data. While initially taking into account variability in the field and over time, this area of research has gone further by introducing various data capture, analysis and modeling techniques to carry out decision making and actions in agri-environmental systems.