Project deliverable Open Access

BigDataGrapes D8.4 - Integration and Operation with real-life Practices

Kasimati, Aikaterini; Schlenz, Florian; Htun, Nyi-Nyi; Tonellotto, Nicola; Zervas, Panagiotis; Papakonstadinou, Mihalis

The deliverable D8.4 “Integration with existing real-life Practices” will showcase the application of BigDataGrapes technologies in data-intensive and critical operations related to the Natural Cosmetics Pilot. More specifically, the ultimate goal is to prepare a dashboard that will expose the required functionality to practitioners in the grapevines and the end-users of relative cosmetic industries, during realistic operations and processes of these stakeholders. The dashboard will use the results of predictive analysis over data samples managed by expert users and will showcase the ability to help decision-making by end-users based on a small subset of exhibits in comparison to the amount that a human should manually check. In this first version of the deliverable the scope is to provide an initial assessment of the hypothesis that BigDataGrapes (BDG) software stack can serve for the prediction of the Biological Activity (BA) parameters by applying correlation analysis to Satellite-based Spectral Vegetation Indexes (SVIs) and demonstrating the future steps to build up the dashboard. Updated versions of this deliverable, including finalised dashboard, are due to M30 and M36 of the project lifetime.

D8.4, “Integration with existing real-life Practices”, is based on the piloting plan of the Natural Cosmetics Pilot (SYMBEEOSIS) and the BA data collected from samples all around Greece, with GEOCLEDIAN providing the SVIs datasets, CNR the data correlation analysis, Ontotext the data modelling, Agroknow the data management and their appropriate transformation for uploading to the software stack, and KU Leuven the visualisation of the dashboard.

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