In Novaterra, a multi-scale fusion is proposed to improve the perception and characterization of the vegetation in both olive trees and vineyards through the combination of aerial images via satellites, and images taken from a manned vehicle in the field. On the one hand, satellites have already shown to provide valuable information that allows extracting relevant data on the state of crops and their geometric characteristics. Although the advantage of these systems is the great capacity to cover hectares, it is true that the resolution at which they do so is often too low to have highly reliable information about the crop. On the other hand, sensors embedded in manned vehicles, such as tractors that travel the fields, offer great precision but are less efficient in covering large areas. For this reason, Novaterra has designed a system that merges these two pieces of information at different scales to complement the information on each of them and extract more reliable parameters that can be used later for agricultural management operations.

Additionally, the novel sensor that is being developed in Novaterra to operate on ground on board of a manned vehicle, which is based on the use of low-cost cameras in combination with artificial intelligence methods, represents a much more cost- efficient technological approach compared to the sensors available up to date. In this way, this new system will reduce the investment to be assumed by the farmer and, consequently, will facilitate a more generalized adoption of this practice.