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
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
The DINOSAR project is pleased to announce the publication of six new deliverables, marking significant progress in user-driven service design, in-situ data collection, and integrated model development for sugarcane monitoring... View Article
As DINOSAR enters its third and final year, all project partners gathered, on 27 January 2026, for the Annual Partners Meeting, held in a hybrid format. Half of the consortium... View Article
The data-collection campaign used as the reference for algorithm comparison began in July 2024 and was deployed across 24 farms belonging to the Providencia and Manuelita sugar mills. A total... View Article