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Full paper on Machine Learning Models for Olive Phenology Phase Prediction available
The full paper titled ‘Analysis of Copernicus’ ERA5 Climate Reanalysis Data as a Replacement for Weather Station Temperature Measurements in Machine Learning Models for Olive Phenology Phase Prediction’ was published in Sensors, a leading peer-reviewed open access journal on the science and technology of sensors. This paper, written by Noelia Oses, Izar Azpiroz, Marco Quartulli...
