QUALISPECTRA
Advanced Machine Learning algorithms for hyperspectral image analysis applied to the quality control of agro-food products
Advanced Machine Learning algorithms for hyperspectral image analysis applied to the quality control of agro-food products
Workshops with farmers have enabled us to co-construct a decision-making tool based on land observation and modelling approaches in order to monitor grass growth and optimise grazing....
New funding to bring the BELCAM platform to a more attractive level of maturity and functionality for potential users.
The CRA-W participates at a new EU project aiming to develop a miniaturized FTIR instrument for in-farm milk analysis
Establishing a grass growth observatory in Wallonia based on an approach that combines field data, satellite data and growth models.
In order to centralise and facilitate access to spectral data derived from vibrational spectroscopy and the corresponding metadata, the CRA-W is developing an original solution : Centralised...