DINOSAR, will build on research carried out as part of the MINERVA project, funded by the Netherlands and coordinated by TU Delft, which aims to establish a network that facilitates... View Article
Consult here the fifth Newsletter of the DINOSAR project!
DINOSAR has developed an integrated algorithm to estimate biomass. It combines optical and radar satellite-based modeled biomass estimated with an evolutionary model based on field measurements. A Kalman filter decides... View Article
As digital technologies continue to reshape agriculture, women professionals are playing an increasingly important role in bridging innovation with the realities of the field. In Colombia’s sugarcane sector, remote sensing,... View Article
DINOSAR is proud to announce the publication of its first scientific paper, led by the University of Alicante, with support from eLEAF, SarVision, and AgroAp. Published in the IEEE Journal... View Article
One of the objectives of the DINOSAR project is to develop a generic methodology that enables research findings to be extended to other crops and geographical areas, whilst establishing a... View Article