02 agriculture challenges, existing standardisation efforts and data bio agri...plan4all
Karel Charvat (Lesprojekt) presented the current challenges in agriculture. Karel mentioned the standardisation in agriculture as one of the main challenges that needs much more attention.
Tomas Reznik (Lesprojekt) presented the achievements of the FOODIE project, in particular the FOODIE data model based on the INSPIRE data specifications. This data model is the backbone for precision farming including fertilisation planning, livestock tracking and many other analytics.
02 agriculture challenges, existing standardisation efforts and data bio agri...plan4all
Karel Charvat (Lesprojekt) presented the current challenges in agriculture. Karel mentioned the standardisation in agriculture as one of the main challenges that needs much more attention.
Tomas Reznik (Lesprojekt) presented the achievements of the FOODIE project, in particular the FOODIE data model based on the INSPIRE data specifications. This data model is the backbone for precision farming including fertilisation planning, livestock tracking and many other analytics.
BDV Webinar Series - Thanasis - Big Data Breakthroughs for Global Bio-economy...Big Data Value Association
The main goal of the DataBio project is to show the benefits of Big Data technologies in the raw material production from agriculture, forestry and fishery/aquaculture for the bio-economy industry to produce food, energy and bio-materials responsibly and sustainably. DataBio proposes to deploy a state of the art, big data platform on top of the existing partners’ infrastructure and solutions – the Big DATABIO Platform. Achieved impacts are measured against anticipations. In this webinar, we present the impact of the DataBio project and of its big data platform after three years of implementation, and we illustrate some of the novel breakthroughs on practical cases of artificial intelligence applications that are meaningfully boosting crop monitoring businesses with a global potential.
BDV Webinar Series - Ephrem - Big Data Breakthroughs for Global Bio-economy B...Big Data Value Association
The main goal of the DataBio project is to show the benefits of Big Data technologies in the raw material production from agriculture, forestry and fishery/aquaculture for the bio-economy industry to produce food, energy and bio-materials responsibly and sustainably. DataBio proposes to deploy a state of the art, big data platform on top of the existing partners’ infrastructure and solutions – the Big DATABIO Platform. Achieved impacts are measured against anticipations. In this webinar, we present the impact of the DataBio project and of its big data platform after three years of implementation, and we illustrate some of the novel breakthroughs on practical cases of artificial intelligence applications that are meaningfully boosting crop monitoring businesses with a global potential.
Big Data Europe at eHealth Week 2017: Linking Big Data in HealthBigData_Europe
Of the four V's of big data – Volume, Velocity, Variety and Veracity – the most challenging for the health sector is Variety. Health data comes from many sources, formats and standards – how can we bring these together to reap the benefits of big data technologies?
Big Data Europe is tackling this challenge head-on, building a big data infrastructure flexible enough to tackle all seven Societal Challenges identified by Horizon 2020. Here we demonstrate our pilot implementation of Open PHACTS, which integrates life science data for drug discovery.
12 May 2017
EDF2014: Marta Nagy-Rothengass, Head of Unit Data Value Chain, Directorate Ge...European Data Forum
Invited Talk of Marta Nagy-Rothengass, Head of Unit Data Value Chain, Directorate General for Communications Networks, Content and Technology: at the European Data Forum 2014, 19 March 2014 in Athens, Greece: Public Sector Information (PSI) at European Commission (EC)
Publication of INSPIRE-based agricultural linked dataRaul Palma
Results of the publication of linked data from the agriculture sector within DATABio project, based on the agriculture data model developed in FOODIE project
BDV Webinar Series - Thanasis - Big Data Breakthroughs for Global Bio-economy...Big Data Value Association
The main goal of the DataBio project is to show the benefits of Big Data technologies in the raw material production from agriculture, forestry and fishery/aquaculture for the bio-economy industry to produce food, energy and bio-materials responsibly and sustainably. DataBio proposes to deploy a state of the art, big data platform on top of the existing partners’ infrastructure and solutions – the Big DATABIO Platform. Achieved impacts are measured against anticipations. In this webinar, we present the impact of the DataBio project and of its big data platform after three years of implementation, and we illustrate some of the novel breakthroughs on practical cases of artificial intelligence applications that are meaningfully boosting crop monitoring businesses with a global potential.
BDV Webinar Series - Ephrem - Big Data Breakthroughs for Global Bio-economy B...Big Data Value Association
The main goal of the DataBio project is to show the benefits of Big Data technologies in the raw material production from agriculture, forestry and fishery/aquaculture for the bio-economy industry to produce food, energy and bio-materials responsibly and sustainably. DataBio proposes to deploy a state of the art, big data platform on top of the existing partners’ infrastructure and solutions – the Big DATABIO Platform. Achieved impacts are measured against anticipations. In this webinar, we present the impact of the DataBio project and of its big data platform after three years of implementation, and we illustrate some of the novel breakthroughs on practical cases of artificial intelligence applications that are meaningfully boosting crop monitoring businesses with a global potential.
Big Data Europe at eHealth Week 2017: Linking Big Data in HealthBigData_Europe
Of the four V's of big data – Volume, Velocity, Variety and Veracity – the most challenging for the health sector is Variety. Health data comes from many sources, formats and standards – how can we bring these together to reap the benefits of big data technologies?
Big Data Europe is tackling this challenge head-on, building a big data infrastructure flexible enough to tackle all seven Societal Challenges identified by Horizon 2020. Here we demonstrate our pilot implementation of Open PHACTS, which integrates life science data for drug discovery.
12 May 2017
EDF2014: Marta Nagy-Rothengass, Head of Unit Data Value Chain, Directorate Ge...European Data Forum
Invited Talk of Marta Nagy-Rothengass, Head of Unit Data Value Chain, Directorate General for Communications Networks, Content and Technology: at the European Data Forum 2014, 19 March 2014 in Athens, Greece: Public Sector Information (PSI) at European Commission (EC)
Publication of INSPIRE-based agricultural linked dataRaul Palma
Results of the publication of linked data from the agriculture sector within DATABio project, based on the agriculture data model developed in FOODIE project
BDV Webinar Series - Caj - Big Data Breakthroughs for Global Bio-economy Busi...Big Data Value Association
The main goal of the DataBio project is to show the benefits of Big Data technologies in the raw material production from agriculture, forestry and fishery/aquaculture for the bio-economy industry to produce food, energy and bio-materials responsibly and sustainably. DataBio proposes to deploy a state of the art, big data platform on top of the existing partners’ infrastructure and solutions – the Big DATABIO Platform. Achieved impacts are measured against anticipations. In this webinar, we present the impact of the DataBio project and of its big data platform after three years of implementation, and we illustrate some of the novel breakthroughs on practical cases of artificial intelligence applications that are meaningfully boosting crop monitoring businesses with a global potential.
OCARIoT will develop an IoT-based personalised coaching solution guiding children to adopt healthy eating and physical activity behaviour. The IoT network will allow observing child activity patterns of daily living, health evolution, physiological & behavioural parameters and environmental data. All this information combined with medical patterns will allows OCARIoT to provide a customised obesity coaching plan while enabling children to remain active and engaged in their well-being and healthy habits management.
The proposed solution will be able to empower children (and also educational staff and families) in taking control of their health by collecting real-time information about nutrition and physical activity, and interconnecting doctors and children (including parents and tutors) in order to adapt the individual obesity coaching plan. OCARIoT will demonstrate and validate its results on three specific pilot sites in Spain, Greece and Brazil.
The OCARIoT consortium will ensure children’s rights and data privacy, security and confidentiality through an Ethics Board composed by healthcare professionals and children representatives from different EU and Brazil organisations.
06 standards based application deployment & executionplan4all
Marie-Francoise Voidrot (Open Geospatial Consortium) explained the standardisation efforts leading to better and easier development of apps in agriculture, e.g. forest change detection, through OGC web services.
MEASURE H2020 project presented at OW2con'19, June 12-13, 2019, Paris. OW2
How to MEASURE The Enterprise Architecture Models Quality With The MEASURE Platform, The H2020 Databio Project Success Story. This presentation is given by Alessandra Bagnato, Research Scientist and Head of the Research Unit at Softeam.
n all the dialects where the Industry 4.0 language is spoken, Industrial Internet of Things, Additive Manufacturing and Robotics from the technology side and Mass Customization, Product-Service Systems and Sustainable Manufacturing from the business side, represent key cornerstones and top priority challenges.
FASTEN will demonstrate an open and standardized framework to produce and deliver tailored-designed products, capable to run autonomously and deliver fast and low-cost additive manufactured products.
"Towards Value-Centric Big Data" e-SIDES Workshop - "Safe and secure data mar...e-SIDES.eu
The following presentation was given by Alessandro Bruni, Legal Researcher at KU Leuven, during the e-SIDES workshop "Towards Value-Centric Big Data" held on April 2, 2019 in Brussels.
Ang Chong Yi Navigating Singaporean Flavors: A Journey from Cultural Heritage...Ang Chong Yi
In the heart of Singapore, where tradition meets modernity, He embarks on a culinary adventure that transcends borders. His mission? Ang Chong Yi Exploring the Cultural Heritage and Identity in Singaporean Cuisine. To explore the rich tapestry of flavours that define Singaporean cuisine while embracing innovative plant-based approaches. Join us as we follow his footsteps through bustling markets, hidden hawker stalls, and vibrant street corners.
Roti Bank Hyderabad: A Beacon of Hope and NourishmentRoti Bank
One of the top cities of India, Hyderabad is the capital of Telangana and home to some of the biggest companies. But the other aspect of the city is a huge chunk of population that is even deprived of the food and shelter. There are many people in Hyderabad that are not having access to
At Taste Of Middle East, we believe that food is not just about satisfying hunger, it's about experiencing different cultures and traditions. Our restaurant concept is based on selecting famous dishes from Iran, Turkey, Afghanistan, and other Arabic countries to give our customers an authentic taste of the Middle East
Iot and big data technologies for bio industry data bio
1. This document is part of a project that has received funding from
the European Union’s Horizon 2020 research and innovation programme
under agreement No 732064. Find us at www.databio.eu
IOT AND BIG DATA TECHNOLOGIES FOR
BIO INDUSTRY - DATABIO
Karel Charvat, Michal Kepka,
Tomas Reznik, Karel Charvat Jr.
Marek Splichal, Marek Musil,
Zbynek Krivanek
Big Data, CPS and IoT: Enabling the
Digital Transformation of European
Industry , IoT week 2017
Geneva, 7.6.2017
2. This document is part of a project that has received funding
from the European Union’s Horizon 2020 research and innovation programme
under agreement No 732064. Find us at www.databio.eu
2Iot and Bio Industry
3. This document is part of a project that has received funding
from the European Union’s Horizon 2020 research and innovation programme
under agreement No 732064. Find us at www.databio.eu
3Large possibilities
• Horticulture, viticulture
• Arable Farming
• Animals
• Forestry
• Fishery
• Food industry
• Wood Industry
• Logistic
4. This document is part of a project that has received funding
from the European Union’s Horizon 2020 research and innovation programme
under agreement No 732064. Find us at www.databio.eu
4Important aspects
What we need care about
• Easy to use
• Trust and security
• Standardization
• Return of Investment
5. This document is part of a project that has received funding
from the European Union’s Horizon 2020 research and innovation programme
under agreement No 732064. Find us at www.databio.eu
5Return of Investment
6. This document is part of a project that has received funding
from the European Union’s Horizon 2020 research and innovation programme
under agreement No 732064. Find us at www.databio.eu
6Return of Investment
Arable farming question - What will be more effective?
1. One station per farm
2. One station per field
3. WSN inside of every field
7. This document is part of a project that has received funding
from the European Union’s Horizon 2020 research and innovation programme
under agreement No 732064. Find us at www.databio.eu
7The 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
8. This document is part of a project that has received funding
from the European Union’s Horizon 2020 research and innovation programme
under agreement No 732064. Find us at www.databio.eu
8Combining Bottom Up with Top Down principles
9. This document is part of a project that has received funding
from the European Union’s Horizon 2020 research and innovation programme
under agreement No 732064. Find us at www.databio.eu
9Integrated data
10. This document is part of a project that has received funding
from the European Union’s Horizon 2020 research and innovation programme
under agreement No 732064. Find us at www.databio.eu
10Farm Telemetry
• Complex system for the
economy effectiveness
evaluation of works on
farms
• Supports decision-making
of farmers, agronomists
• control of being in
compliance with
directives (e.g. The
Nitrates Directive)
11. This document is part of a project that has received funding
from the European Union’s Horizon 2020 research and innovation programme
under agreement No 732064. Find us at www.databio.eu
11Farm Telemetry
12. This document is part of a project that has received funding
from the European Union’s Horizon 2020 research and innovation programme
under agreement No 732064. Find us at www.databio.eu
12Big Data visualization
13. This document is part of a project that has received funding
from the European Union’s Horizon 2020 research and innovation programme
under agreement No 732064. Find us at www.databio.eu
13Partner technologies or solutions NeuroPublic Gaia
14. This document is part of a project that has received funding
from the European Union’s Horizon 2020 research and innovation programme
under agreement No 732064. Find us at www.databio.eu
14Moisture Monitoring of Feedstock
Mobile moisture monitoring devices
MHG Mobile Moisture Monitoring
- Bluetooth + Android app
15. This document is part of a project that has received funding
from the European Union’s Horizon 2020 research and innovation programme
under agreement No 732064. Find us at www.databio.eu
15Sensor testbed
• Sensors as data originators have to be discoverable for
both users and machines
• Observations as sensor states representatives have to
be appropriate stored, analyzable and properly
presented to data consumers
• SensLog – receiver, storage, publisher
• Proton – complex analyser
• IoT Discovery – sensor catalogue
16. This document is part of a project that has received funding
from the European Union’s Horizon 2020 research and innovation programme
under agreement No 732064. Find us at www.databio.eu
16Architecture overview
17. This document is part of a project that has received funding
from the European Union’s Horizon 2020 research and innovation programme
under agreement No 732064. Find us at www.databio.eu
17SensLog
• SensLog is an integrated solution for sensor networks.
• SensLog consists of data model and server-side
application which is capable to store, analyses and
publish data in various ways.
• SensLog receives measured data from nodes or
gateways, stores data properly in the database, pre-
processes for easier queries if desired and then
publishes data through the system of web-services.
18. This document is part of a project that has received funding
from the European Union’s Horizon 2020 research and innovation programme
under agreement No 732064. Find us at www.databio.eu
18SensLog data model
19. This document is part of a project that has received funding
from the European Union’s Horizon 2020 research and innovation programme
under agreement No 732064. Find us at www.databio.eu
19IoT Discovery View
20. This document is part of a project that has received funding
from the European Union’s Horizon 2020 research and innovation programme
under agreement No 732064. Find us at www.databio.eu
20SensLog – Proton cooperation
• SensLog – web-based sensor data management
system
• CEP Proton – platform to support the development,
deployment, and maintenance of event-driven
applications
• SensLog – own data model derived from ISO
Observations&Measurements, sensor-centric
• CEP Proton – data model related to IoT architecture,
entity-centric
21. This document is part of a project that has received funding
from the European Union’s Horizon 2020 research and innovation programme
under agreement No 732064. Find us at www.databio.eu
21SensLog – Proton cooperation
Main idea
• bring CEP functionality for non ready-to-use FIWARE applications,
• harmonization between observation-/sensor-centric data models and
IoT architecture
• SensLog – provides receiving and publishing of observations from/to
web applications
• CEP Proton – provides analytical functionality to detect complex
events
• Communication by REST API with JSON encoding on both sides
• Implmenting of NGSI-9/10 v2 on SensLog side
22. This document is part of a project that has received funding
from the European Union’s Horizon 2020 research and innovation programme
under agreement No 732064. Find us at www.databio.eu
22SensLog – Proton cooperation
23. This document is part of a project that has received funding
from the European Union’s Horizon 2020 research and innovation programme
under agreement No 732064. Find us at www.databio.eu
23
Thank you for your attention
Karel Charvát
LESPROJEKT sluzby
DataBio team
https://www.databio.eu/en/
https://twitter.com/DataBio_eu
https://www.linkedin.com/groups/3807971
charvat@lesprojekt.cz