184899 Research staff with a university degree (non-PhD)

EURAXESS hosting organisation · Multiple European countries

Analysis and design of the analytical system architecture, including the definition of the components required for data acquisition, integration, and processing. Validation of the architecture through the incorporation of additional data sources, applying data engineering techniques for the extraction, transformation, cleansing, normalization, and integration of heterogeneous datasets. Exploratory data analysis (EDA) will be carried out to identify patterns, relationships, and key variables, providing the foundation for the development and training of machine learning models, including both exploratory and predictive approaches. Finally, a decision support system (DSS) for agricultural management will be developed, integrating the outputs of the analytical models to generate recommendation

Funding and what it does not cover

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