BlueGreen Labs provided data management and machine learning software development expertise for the EU Joint Research Center (EU JRC) within the context of a landscape image segmentation project.
We provide protocol development and data processing expertise in support of this IFPRI led project to mitigate basic risk in smallholder farmer insurance.
We provide remote sensing validation expertise in support of product development.
We provide a range of open source software packages in support of (academic) research.
We detailed the protocol for the implementation of cameras within the PhenoCam US and Integrated Carbon Observation System network.
BlueGreen Labs has expert knowledge on (citizen science based) data recovery. In particular, we led the COBECORE project to develop a multi-faceted database by making the archives of the Institut National pour l’Etude Agronomique du Congo belge digitally accessible.
Project Lead. This project strives to transcribe old observations of tree life cycle events (flowering, leaf shedding, fruit dispersion), in central African Rainforests, which are key to understanding a tree’s functioning.
We used a combination of historical (1958) aerial photography and contemporary remote sensing data to map long-term changes in the extent and structure of the tropical forest surrounding Yangambi (DR Congo) in the central Congo Basin.
Central African climate data rescue using a computer vision, deep learning and crowd sourcing methods.