H2020 Big Data Lighthouse Pilot DataBio Karel Charvat with support of DataBio team Lesprojekt sluzby “European Policy Perspectives on Data-intensive Agriculture & Food” 2nd Joint workshop of Big Data Europe & GODAN Brussels, 31st March 2017

The project in a nutshell The industrial domain addressed Bioeconomy Production of best possible raw materials from agriculture, forestry and fishery for the Bioeconomy industry to produce food, energy and biomaterials The current landscape Few large ICT vendors so far The opportunity Bioeconomy can get a boost from Big Data. Farm machines, fishing vessels, forestry machinery and remote and proximal sensors collect large quantities data. Large scale data collection and collation enhances knowledge to increase performance and productivity in a sustainable way. DataBio’s vision for influencing the domain Showcase the benefits of Big Data technologies in the raw material production for the bioeconomy industry Increase participation of European ICT industry Project data Total budget= 16,2 M€ 48 partners, 10 of which are BDVA members 71 Associate partners Duration: 01/01/2017 – 31/12/2019

Concept and methodology DataBio will build a platform suitable for different industries and user profiles Capability to handle distributed, heterogeneous and very large datasets Configure predictive analytics and machine learning components Mechanisms for real time analytics and stream processing Solutions for managing storage and queries of various big data sources Integrated advanced visualization services Big data acquisition and curation with security/privacy support Easily replicated due to using standard systems and known best practices

Concept and methodology Variety (managing integration of all the heterogeneous data from the past - using Linked (Open) Data and semantics/ontologies etc. - and data access, queries, reporting etc. for data preparation). Descriptive analytics and classical query/reporting (performance data, transactional data, attitudinal data, descriptive data, behavioral data, location-related data, interactional data, from many different sources) Velocity (managing real time/sensor data from the present - complex event processing, Apache Kafka/Storm etc.) Monitoring and real-time analytics - pilot services (in need of Velocity processing - and handling of real-time data from the present) - trigging alarms, actuators etc. Volume (mining all the data with respect to prediction and forecasting for the future - using various types of machine learning and inductive statistical methods). Forecasting, Prediction and Recommendation analytics - pilot services (in need of Volume processing - and processing of large amounts of data combining knowledge from the past and present, and from models, to provide insight for the future).

Concept and methodology

Combining Bottom Up with Top Down principles

Big Data Reference Model Data Protection Engineering & DevOps Standards Data Processing Architectures Batch, Interactive, Streaming/Real-time Data Visualisation and User Interaction 1D, 2D, 3D, 4D, VR/AR Data Analytics Descriptive, Diagnostic, Predictive, Prescriptive Data Management Collection, Preparation, Curation, Linking, Access (Existing) Infrastructure Cloud, Communication (5G), HPC, IoT/CPS Big Data Priority Tech Areas Cross-cutting functions Builds on

EO Interfaces

Sensors

Data Models

WP1 Agriculture Detail the pilots to be implemented on top of the provided common infrastructure; Provide the integrated for plots, giving access to all the tools developed and to the required execution resources (in terms of data and computation); Implement the detailed pilots according to the designs, using the e-Infrastructure services; The Big technologies will be tested in three areas arable farming, horticulture and Subsidies an insurance, where every area will be tested in in sub-pilots with different topics and running in different countries.

Precision Horticulture including vine and olives WP1 Agriculture Precision Horticulture including vine and olives Precision agriculture in olives, fruits, grapes and vegetables Big Data management in greenhouse eco-systems Arable Precision Farming Cereals and biomass crops Machinery management Subsidies and insurance Insurance CAP reform

Partner technologies or solutions NeuroPublic Gaia

Partner technologies or solutions NeuroPublic Gaia

Partner technologies or solutions TerraSigna

Partner technologies or solutions E-GEOS

Partner technologies or solutions VITO

Partner technologies or solutions CSEM

Partner technologies or solutions Lesprojekt

Partner technologies or solutions Lesprojekt

Partner technologies or solutions UWB

Thank you for your attention Karel Charvát LESPROJEKT sluzby charvat@lesprojekt.cz