Analysis of Copernicus’ ERA5 Climate Reanalysis Data as a Replacement for Weather Station Temperature Measurements in Machine Learning Models for Olive Phenology Phase Prediction

Analysis of Copernicus’ ERA5 Climate Reanalysis Data as a Replacement for Weather Station Temperature Measurements in Machine Learning Models for Olive Phenology Phase Prediction

Knowledge of phenological events and their variability can help to determine final yield, plan management approach, tackle climate change, and model crop development. THe timing of phenological stages and phases is known to be highly correlated with temperature which is therefore an essential compon...

Full description

Bibliographic Details
Main Authors: Noelia Oses, Izar Azpiroz, Susanna Marchi, Diego Guidotti, Marco Quartulli, Igor G. Olaizola
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Sensors
Subjects:
phenophase
olive phenology modeling
BBCH scale
machine learning
base temperature
Online Access:https://www.mdpi.com/1424-8220/20/21/6381

Similar Items

Similar Items