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.
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.
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 - 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.
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.
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 - 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.
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.
Presentación de Marta Conde (CDTI) sobre las convocatorias 2020 del Reto Social 2 de Horizonte2020.
Jornada informativa organizada el 10 de octubre de 2019 sobre las convocatorias 2020 del Reto 2 en el marco de Horizonte 2020. El evento, celebrado en la Universidad de Córdoba, fue organizado por la Agencia Andaluza del Conocimiento en colaboración con CDTI, Red OTRI Andalucía, la UCO, el CeiA3 y la Enterprise Europe Network.
Presentación de Marta Conde (CDTI) sobre EIP-AGRI y Multi-Actor Approach.
Jornada informativa organizada el 10 de octubre de 2019 sobre las convocatorias 2020 del Reto 2 en el marco de Horizonte 2020. El evento, celebrado en la Universidad de Córdoba, fue organizado por la Agencia Andaluza del Conocimiento en colaboración con CDTI, Red OTRI Andalucía, la UCO, el CeiA3
Odile Hologne's presentation at the eROSA Workshop “Towards Open Science in Agriculture & Food”, a side event to High Level conference on FOOD 2030, Plovdiv, Bulgaria (13/6/2018)
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.
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.
Presentación de Marta Conde (CDTI) sobre las convocatorias 2020 del Reto Social 2 de Horizonte2020.
Jornada informativa organizada el 10 de octubre de 2019 sobre las convocatorias 2020 del Reto 2 en el marco de Horizonte 2020. El evento, celebrado en la Universidad de Córdoba, fue organizado por la Agencia Andaluza del Conocimiento en colaboración con CDTI, Red OTRI Andalucía, la UCO, el CeiA3 y la Enterprise Europe Network.
Presentación de Marta Conde (CDTI) sobre EIP-AGRI y Multi-Actor Approach.
Jornada informativa organizada el 10 de octubre de 2019 sobre las convocatorias 2020 del Reto 2 en el marco de Horizonte 2020. El evento, celebrado en la Universidad de Córdoba, fue organizado por la Agencia Andaluza del Conocimiento en colaboración con CDTI, Red OTRI Andalucía, la UCO, el CeiA3
Odile Hologne's presentation at the eROSA Workshop “Towards Open Science in Agriculture & Food”, a side event to High Level conference on FOOD 2030, Plovdiv, Bulgaria (13/6/2018)
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
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.
This document introduces the second prototypes related to the Advanced Rich Interfaces. It includes both a description of the interfaces specifically developed for the dashboard, the widgets, and a section including guidelines
and recommendations on how to develop further widgets. A final section deals with the mobile application implemented for the project, a native android application.
Digital Innovation Hubs – Digital Transformation of Agriculture at a Regional...Sjaak Wolfert
• Build local digital innovation hubs offering innovation services and access
to finance
• Organize regional challenges for initiating new Innovation Experiments
• Conduct multi-actor Innovation Experiments for a digital transformation
• Creating a pan-European network of Digital Innovation Hubs
and Competence Centres
Similar to BDV Webinar Series - Thanasis - Big Data Breakthroughs for Global Bio-economy Business (16)
Big Data lay at the core of the strong data economy that is emerging in Europe. Although both large enterprises and SMEs acknowledge the potential of Big Data in disrupting the market and business models, this is not reflected in the growth of the data economy. The lack of trusted, secure, ethical-driven personal data platforms and privacy-aware analytics, hinders the growth of the data economy and creates concerns. The main considerations are related to the secure sharing of personal and proprietary/industrial data, and the definition of a fair remuneration mechanism that will be able to capture, produce, release and cash out the value of data, always for the benefit of all the involved stakeholders.
This webinar will focus on how such concerns that pertain to privacy, ethics and intellectual property rights can be tackled, by allowing individuals to take ownership and control of their data and share them at will, through flexible data sharing and fair compensation schemes with other entities (companies or not), as researched by the DataVaults project.
Big Data lay at the core of the strong data economy that is emerging in Europe. Although both large enterprises and SMEs acknowledge the potential of Big Data in disrupting the market and business models, this is not reflected in the growth of the data economy. The lack of trusted, secure, ethical-driven personal data platforms and privacy-aware analytics, hinders the growth of the data economy and creates concerns. The main considerations are related to the secure sharing of personal and proprietary/industrial data, and the definition of a fair remuneration mechanism that will be able to capture, produce, release and cash out the value of data, always for the benefit of all the involved stakeholders.
This webinar will focus on how such concerns that pertain to privacy, ethics and intellectual property rights can be tackled, by allowing individuals to take ownership and control of their data and share them at will, through flexible data sharing and fair compensation schemes with other entities (companies or not), as researched by the DataVaults project.
Big Data lay at the core of the strong data economy that is emerging in Europe. Although both large enterprises and SMEs acknowledge the potential of Big Data in disrupting the market and business models, this is not reflected in the growth of the data economy. The lack of trusted, secure, ethical-driven personal data platforms and privacy-aware analytics, hinders the growth of the data economy and creates concerns. The main considerations are related to the secure sharing of personal and proprietary/industrial data, and the definition of a fair remuneration mechanism that will be able to capture, produce, release and cash out the value of data, always for the benefit of all the involved stakeholders.
This webinar will focus on how such concerns that pertain to privacy, ethics and intellectual property rights can be tackled, by allowing individuals to take ownership and control of their data and share them at will, through flexible data sharing and fair compensation schemes with other entities (companies or not), as researched by the DataVaults project.
Intro - Three pillars for building a Smart Data Ecosystem: Trust, Security an...Big Data Value Association
Today’s data marketplaces are large, closed ecosystems that are in the hands of few established players or a consortium that decide on the rules, policies, etc.
Yet, the main barrier of the European data economy is the fact that current data spaces and marketplaces are “siloes”, without support for data exchange across their boundaries.
This webinar reveals how these boundaries can be overcome through the i3-MARKET “backplane”, which is an infrastructure able to connect all the stakeholders providing the suitable level of trust (consensus-based self-governing, auditability, reliability, verifiable credentials), security (P2P encryption, cryptographic proofs) and privacy (self-sovereign identity, zero-knowledge proof, explicit user consent).
Three pillars for building a Smart Data Ecosystem: Trust, Security and PrivacyBig Data Value Association
Today’s data marketplaces are large, closed ecosystems that are in the hands of few established players or a consortium that decide on the rules, policies, etc.
Yet, the main barrier of the European data economy is the fact that current data spaces and marketplaces are “siloes”, without support for data exchange across their boundaries.
This webinar reveals how these boundaries can be overcome through the i3-MARKET “backplane”, which is an infrastructure able to connect all the stakeholders providing the suitable level of trust (consensus-based self-governing, auditability, reliability, verifiable credentials), security (P2P encryption, cryptographic proofs) and privacy (self-sovereign identity, zero-knowledge proof, explicit user consent).
Market into context - Three pillars for building a Smart Data Ecosystem: Trus...Big Data Value Association
Today’s data marketplaces are large, closed ecosystems that are in the hands of few established players or a consortium that decide on the rules, policies, etc.
Yet, the main barrier of the European data economy is the fact that current data spaces and marketplaces are “siloes”, without support for data exchange across their boundaries.
This webinar reveals how these boundaries can be overcome through the i3-MARKET “backplane”, which is an infrastructure able to connect all the stakeholders providing the suitable level of trust (consensus-based self-governing, auditability, reliability, verifiable credentials), security (P2P encryption, cryptographic proofs) and privacy (self-sovereign identity, zero-knowledge proof, explicit user consent).
BDV Skills Accreditation - Future of digital skills in Europe reskilling and ...Big Data Value Association
The objective of the workshop is to highlight the need for a pan European level skill recognition for Big Data that stimulates mobility and fulfils the definition of overarching Learning Objectives & Overarching Learning Impacts. It is also meant to get feedback on the formats that are being prepared namely, usage of Badges, Label and EIT Label for professionals.
The objective of the workshop is to highlight the need for a pan European level skill recognition for Big Data that stimulates mobility and fulfils the definition of overarching Learning Objectives & Overarching Learning Impacts. It is also meant to get feedback on the formats that are being prepared namely, usage of Badges, Label and EIT Label for professionals.
The objective of the workshop is to highlight the need for a pan European level skill recognition for Big Data that stimulates mobility and fulfils the definition of overarching Learning Objectives & Overarching Learning Impacts. It is also meant to get feedback on the formats that are being prepared namely, usage of Badges, Label and EIT Label for professionals.
BDV Skills Accreditation - Recognizing Data Science Skills with BDV Data Scie...Big Data Value Association
The objective of the workshop is to highlight the need for a pan European level skill recognition for Big Data that stimulates mobility and fulfils the definition of overarching Learning Objectives & Overarching Learning Impacts. It is also meant to get feedback on the formats that are being prepared namely, usage of Badges, Label and EIT Label for professionals.
EIT label intro by Rroberto Prieto
The objective of the workshop is to highlight the need for a pan European level skill recognition for Big Data that stimulates mobility and fulfils the definition of overarching Learning Objectives & Overarching Learning Impacts. It is also meant to get feedback on the formats that are being prepared namely, usage of Badges, Label and EIT Label for professionals.
Muluneh Oli (EIT Digital)
The objective of the workshop is to highlight the need for a pan European level skill recognition for Big Data that stimulates mobility and fulfils the definition of overarching Learning Objectives & Overarching Learning Impacts. It is also meant to get feedback on the formats that are being prepared namely, usage of Badges, Label and EIT Label for professionals.
BDV Skills Accreditation - Definition and ensuring of digital roles and compe...Big Data Value Association
The objective of the workshop is to highlight the need for a pan European level skill recognition for Big Data that stimulates mobility and fulfils the definition of overarching Learning Objectives & Overarching Learning Impacts. It is also meant to get feedback on the formats that are being prepared namely, usage of Badges, Label and EIT Label for professionals.
BigDataPilotDemoDays - I BiDaaS Application to the Manufacturing Sector WebinarBig Data Value Association
The new data-driven industrial revolution highlights the need for big data technologies to unlock the potential in various application domains. To this end, BDV PPP projects I-BiDaaS, BigDataStack, Track & Know and Policy Cloud deliver innovative technologies to address the emerging needs of data operations and applications. To fully exploit the sustainability and take full advantage of the developed technologies, the projects onboarded pilots that exhibit their applicability in a wide variety of sectors. In the Big Data Pilot Demo Days, the projects will showcase the developed and implemented technologies to interested end-users from the industry as well as technology providers, for further adoption.
One of the main goals of the I-BiDaaS project is to provide a Big Data as a self-service solution that will empower the actual employees of European companies in targeted sectors (banking, manufacturing, telecom), i.e., the true decision-makers, with the insights and tools they need in order to make the right decisions in an agile way. In this big data pilot webinar, we will demonstrate in a step by step fashion the I-BiDaaS self-service solution and its application to the banking sector. In more detail, we will present an overview of the I-BiDaaS project focusing on the requirements of the CaixaBank pilot study, the I-BiDaaS architecture with its core technologies, and a step by step demo of the I-BiDaaS solution. Last but not least, we will show through CaixaBank's success story how I-BiDaaS can resolve data availability, data sharing, and breaking silos challenges in the banking domain.
At the heart of this DataBench webinar is the goal to share a benchmarking process helping European organisations developing Big Data Technologies to reach for excellence and constantly improve their performance, by measuring their technology development activity against parameters of high business relevance.
The webinar aims to provide the audience with a framework and tools to assess the performance and impact of Big Data and AI technologies, by providing real insights coming from DataBench. In addition, representatives from other projects part of the BDV PPP such as DeepHealth and They-Buy-for-You will participate to share the challenges and opportunities they have identified on the use of Big Data, Analytics, AI. The perspective of other projects that also have looked into benchmarking, such as Track&Now and I-BiDaaS will be introduced.
At the heart of this DataBench webinar is the goal to share a benchmarking process helping European organisations developing Big Data Technologies to reach for excellence and constantly improve their performance, by measuring their technology development activity against parameters of high business relevance.
The webinar aims to provide the audience with a framework and tools to assess the performance and impact of Big Data and AI technologies, by providing real insights coming from DataBench. In addition, representatives from other projects part of the BDV PPP such as DeepHealth and They-Buy-for-You will participate to share the challenges and opportunities they have identified on the use of Big Data, Analytics, AI. The perspective of other projects that also have looked into benchmarking, such as Track&Now and I-BiDaaS will be introduced.
Virtual BenchLearning - I-BiDaaS - Industrial-Driven Big Data as a Self-Servi...Big Data Value Association
At the heart of this DataBench webinar is the goal to share a benchmarking process helping European organisations developing Big Data Technologies to reach for excellence and constantly improve their performance, by measuring their technology development activity against parameters of high business relevance.
The webinar aims to provide the audience with a framework and tools to assess the performance and impact of Big Data and AI technologies, by providing real insights coming from DataBench. In addition, representatives from other projects part of the BDV PPP such as DeepHealth and They-Buy-for-You will participate to share the challenges and opportunities they have identified on the use of Big Data, Analytics, AI. The perspective of other projects that also have looked into benchmarking, such as Track&Now and I-BiDaaS will be introduced.
The problem of radicalisation is very high on the European agenda as increasing numbers of young European radicals return from Syria and use the internet to disseminate propaganda. To enable policy makers to design policies to address radicalisation effectively, Policy Cloud consortium will collect data from social media and other sources including the open-source Global Terrorism Database (GTD), the Onion City search engine which accesses data over the TOR dark web sites, and Twitter ( through Firehose). The data will be analysed using sentiment analysis and opinion mining software.
Policy Cloud Data Driven Policies against Radicalisation - Participatory poli...Big Data Value Association
The problem of radicalisation is very high on the European agenda as increasing numbers of young European radicals return from Syria and use the internet to disseminate propaganda. To enable policy makers to design policies to address radicalisation effectively, Policy Cloud consortium will collect data from social media and other sources including the open-source Global Terrorism Database (GTD), the Onion City search engine which accesses data over the TOR dark web sites, and Twitter ( through Firehose). The data will be analysed using sentiment analysis and opinion mining software.
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...pchutichetpong
M Capital Group (“MCG”) expects to see demand and the changing evolution of supply, facilitated through institutional investment rotation out of offices and into work from home (“WFH”), while the ever-expanding need for data storage as global internet usage expands, with experts predicting 5.3 billion users by 2023. These market factors will be underpinned by technological changes, such as progressing cloud services and edge sites, allowing the industry to see strong expected annual growth of 13% over the next 4 years.
Whilst competitive headwinds remain, represented through the recent second bankruptcy filing of Sungard, which blames “COVID-19 and other macroeconomic trends including delayed customer spending decisions, insourcing and reductions in IT spending, energy inflation and reduction in demand for certain services”, the industry has seen key adjustments, where MCG believes that engineering cost management and technological innovation will be paramount to success.
MCG reports that the more favorable market conditions expected over the next few years, helped by the winding down of pandemic restrictions and a hybrid working environment will be driving market momentum forward. The continuous injection of capital by alternative investment firms, as well as the growing infrastructural investment from cloud service providers and social media companies, whose revenues are expected to grow over 3.6x larger by value in 2026, will likely help propel center provision and innovation. These factors paint a promising picture for the industry players that offset rising input costs and adapt to new technologies.
According to M Capital Group: “Specifically, the long-term cost-saving opportunities available from the rise of remote managing will likely aid value growth for the industry. Through margin optimization and further availability of capital for reinvestment, strong players will maintain their competitive foothold, while weaker players exit the market to balance supply and demand.”
BDV Webinar Series - Thanasis - Big Data Breakthroughs for Global Bio-economy Business
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. It is the property of the DataBio consortium and shall not be distributed or
reproduced without the formal approval of the DataBio Management Committee. Find us at www.databio.eu.
1
This project has received funding from
the European Union’s Horizon 2020
research and innovation programme
under grant agreement No 732064
This project is part
of BDV PPP
PROJECT OVERVIEW & MAIN RESULTS
Dr Thanasis Poulakidas
INTRASOFT Intl
DataBio Coordinator
BDVA Webinar
17 December 2019
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. It is the property of the DataBio consortium and shall not be distributed or
reproduced without the formal approval of the DataBio Management Committee. Find us at www.databio.eu.
2
Project at a glance
2017 2018 2019
27
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. It is the property of the DataBio consortium and shall not be distributed or
reproduced without the formal approval of the DataBio Management Committee. Find us at www.databio.eu.
3
Flows and expected outcomes
AGRICULTURE
(13 pilots)
FORESTRY
(8 pilots)
FISHERY
(6 pilots)
Big Data Sources
and Big Data Types
Structured and unstructured data
Spatio-temporal data
Machine generated data
Image/sensor data
Geospatial data
Genomics data
Data
Management
Collection
Preparation
Curation
Linking
Access
Data
Processing
Batch
Interactive
Streaming
Real-time
Data Analytics
Classification
Clustering
Regression
Deep learning
Optimization
Simulation
Raw material production
for Food and Energy
Biomaterials
Responsible
production
Sustainability
Data Visualization and User Interaction
1D, 2D, 3D + temporal
Virtual and Augmented Reality
Validation
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. It is the property of the DataBio consortium and shall not be distributed or
reproduced without the formal approval of the DataBio Management Committee. Find us at www.databio.eu.
4
Overall achievements
27diverse pilots -described in next slides
95technology components
(60 used in trials), 38datasets,
16pipelines
Lead project in defining the
BDVA Reference Model
DataBioHub cataloguing
DataBio book (under preparation)
180+events
4360LinkedIn members
611Twitter followers
31exploitable results
Customized business plans
2017 2018 2019
Agriculture Pilot
Forestry Pilot
Fisheries Pilot
DataBio Platform with Pilot
Support
Earth Observation and
GeoSpatial Data and Services
Dissemination and Training
Exploitation and Business
Planning
Specified
pilots
Developed
components
and platform
Executed
pilots
trial 1
Final
docume
ntation
v2
Dissemination and Training
Exploitation and Business Planning
Executing
pilots
trial 2
Final
report
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. It is the property of the DataBio consortium and shall not be distributed or
reproduced without the formal approval of the DataBio Management Committee. Find us at www.databio.eu.
5
Agriculture pilots
• Scope
• Olives, fruits, grapes, vegetables
• Genomics in greenhouses
• Cereal, biomass and fiber crops
• Agriculture machinery
• Insurance
• CAP support
• AI/Big Data technologies and added value
➢ Holistic approaches combining Earth Observation, meteo, IoT (incl. drones and machinery) and genomic data
➢ Descriptive and prescriptive analytics with anomaly maps for irrigation, fertilization and pest management
➢ Predictive analytics for the development of data-driven yield models; predictive feedback (monitoring), real-time
streaming data analytics to alert and provide operational recommendations
➢ Genomics prediction models: predictive analytics for genetic merit
➢ Descriptive and predictive analytics on optimized tractor utilization and fault prediction/detection
➢ Diagnostic and descriptive damage assessment based on remote data
➢ Precise crop identification using EO data
13 agriculture pilots
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. It is the property of the DataBio consortium and shall not be distributed or
reproduced without the formal approval of the DataBio Management Committee. Find us at www.databio.eu.
6
Forestry pilots
• Scope
• Multisource and data crowdsourcing
/e-services
• Forest health / Remote/crowd sensing,
Invasive species/damage
• Forest data management
• AI/Big Data technologies and added value
• Holistic data sharing platform combining IoT and remote sensing data
with crowdsourcing
• Analytics and apps assessing forest damage
• Feedback analysis on work quality
• Analytics on combos of remote data for detecting pests
• Analytics combining EO data with ecological and ecosystem
factors for risk assessing invasive alien species
8 forestry pilots
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. It is the property of the DataBio consortium and shall not be distributed or
reproduced without the formal approval of the DataBio Management Committee. Find us at www.databio.eu.
7
Fishery pilots
• Scope:
• AI/Big Data technologies and added value
• Predictive analytics for engine performance and energy consumption, based in weather and
sea condition predictions using also ship models
• Predictive analytics for data-driven near-real-time decision support optimizing vessel operations
• Machine learning for predicting best fishing grounds
• Real-time CEP to optimize fish catch / fuel consumption
• Hybrid analytics for assessing fish stock from multiple data sources
• Predictive analytics for data-driven projection models of price trends
6 fishery pilots
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. It is the property of the DataBio consortium and shall not be distributed or
reproduced without the formal approval of the DataBio Management Committee. Find us at www.databio.eu.
9
Indicative results from pilots
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. It is the property of the DataBio consortium and shall not be distributed or
reproduced without the formal approval of the DataBio Management Committee. Find us at www.databio.eu.
10
Precision Agriculture in Olives, Fruits, Grapes @ Greece
PILOT SUMMARY
• Smart Farming pilot focusing on the
exploitation of heterogeneous data,
facts and scientific knowledge to
facilitate decisions and their
application in the field,
• The pilot will promote sustainable
farming practices through the
provision of irrigation, fertilization
and pest/disease management
advices,
• The farmer will directly benefit from
the provided big-data technologies
and advisory services by better
managing the natural resources,
optimizing the use of agricultural
inputs and increasing farm yields. 3 Pilot Sites….
…and 4 Data
Dimensions
DATABIO PARTNERS INVOLVED
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. It is the property of the DataBio consortium and shall not be distributed or
reproduced without the formal approval of the DataBio Management Committee. Find us at www.databio.eu.
11
28/11/2017 - The Greek Minister
of Digital Policy, Telecommunications
and Media visits DataBio’s pilot site on
peaches and gets informed about the
benefits gained through the adoption
of big-data technologies.
This visit served as a stepping stone,
as the ministry launched a 28M euros
call for covering the whole Greek
territory with agro-climate sensors,
thus, enabling the provision of Smart
Farming services to all Greek farmers
PILOT INITIAL RESULTS
http://www.ypaithros.gr/en/yannis-olive-grove-
reduction-by-30-in-production-costs-and-
parallel-increase-of-sales/
SUCCESS STORIES
Chalkidiki Pilot
avgcostofspraying
(euros/ha)
avgcostofirrigation
(euros/ha)
Veroia Pilot
Nitrogen
Under/Over
fertilization(%)
0
500
1000
1500
Olive
Trees
Grapes Peaches
Baseline Value Measured Value
0
1000
2000
3000
4000
Olive
Trees
Grapes Peaches
Baseline Value Measured Value
-100
-50
0
50
Olive Trees Grapes
Baseline Value Measured Value
Precision Agriculture in Olives, Fruits, Grapes @ Greece
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. It is the property of the DataBio consortium and shall not be distributed or
reproduced without the formal approval of the DataBio Management Committee. Find us at www.databio.eu.
12
Precision agriculture in vegetable seed crops @ Italy
Today: experienced fieldsmen of CAC monitor seed crops
and decide when to start seed harvesting according to
empiric observations
Objective: seed crops monitoring and assessment of right time
for seed harvesting using data from satellites and field sensors
This should result in:
- Better seed quality
- Cost reduction: less field visits
- Additional services for growers
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. It is the property of the DataBio consortium and shall not be distributed or
reproduced without the formal approval of the DataBio Management Committee. Find us at www.databio.eu.
13
Precision agriculture in vegetable seed crops @ Italy
• Near real time crop monitoring
• Onions and cabbages: models not very reliable
• The destruction of male lines after pollination
reduces the vegetative covering of soil
• Much better results on sugar beet seed crops,
sunflower and soybean: coherence between
models and the maturity stage of the crops
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. It is the property of the DataBio consortium and shall not be distributed or
reproduced without the formal approval of the DataBio Management Committee. Find us at www.databio.eu.
14
Cereal, Biomass and Cotton Crops @ Greece
fieldremote
eye farm
Big
data
Increase Profits, minimize
environmental footprint
PILOT SUMMARY
• Smart farming pilot focusing on the exploitation
of heterogeneous data, facts and scientific
knowledge to facilitate decisions and their
application in the field,
• The pilot will promote sustainable farming
practices through the provision of irrigation
advices,
• Evapotranspiration monitoring is being explored
in order to provide useful information on the
farm’s water availability,
• The farmer will directly benefit from the provided
big-data technologies and advisory services by
better managing the natural resources.
1 pilot site (Kileler, Greece)
1 targeted crop (cotton)
1 advisory service (irrigation)
4 data sources
Data fusion
Advice generation and extrapolation
Decision Support
DATABIO PARTNERS INVOLVED
Amountof
freshwaterused
(m3/ha)
2670
2379
2200
2400
2600
2800
Cotton
Baseline Value Measured Value
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. It is the property of the DataBio consortium and shall not be distributed or
reproduced without the formal approval of the DataBio Management Committee. Find us at www.databio.eu.
15
Systemic risk
detection through
agro-climatic
measurements
Vegetation-index continuous
monitoring at parcel level
Crop models generated
through statistical or ML
methodologies used as
baseline
Detection of anomalies and
Reporting after ~2 weeks
Insurance @ Greece
PILOT SUMMARY
• EO-based pilot dedicated for the agriculture
insurance market that eliminates the need for
on-the-spot checks for damage assessment
and promotes rapid pay outs,
• Collaboration with INTERAMERICAN, a high
profile insurance company in Greece,
• Focus on annual crops (tomato, rice, maize,
cotton) and regions (Thessaly, Evros) with
significant economic footprint on the Greek
agri-food sector,
• Comes as a response to specific climate-
related systemic perils (flood, drought,
high/low temperature).
DATABIO PARTNERS INVOLVED
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. It is the property of the DataBio consortium and shall not be distributed or
reproduced without the formal approval of the DataBio Management Committee. Find us at www.databio.eu.
16
SUCCESS STORIES
Heat wave, 1/7/2017, Larisa, Greece
Insurance @ Greece
Floods, 3/4/2018, Evros, Greece
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. It is the property of the DataBio consortium and shall not be distributed or
reproduced without the formal approval of the DataBio Management Committee. Find us at www.databio.eu.
17
MAIN
STAKEHOLDER
Agency for Payments
and Intervention in
Agriculture (APIA)
GOAL
providing Services in support to the National
and Local Paying Agencies for a more
accurate and complete control of the
farmers’ declaration related to the obligation
introduces by the current Common
Agriculture Policy.
CAP SUPPORT MONITORING WORKFLOW
CAP support @ Romania –Copernicus data for agri monitoring
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. It is the property of the DataBio consortium and shall not be distributed or
reproduced without the formal approval of the DataBio Management Committee. Find us at www.databio.eu.
18
VALIDATION
Overall pixel-based
performance
(validated against
APIA data)
97.28% for 32 crops,
16.000+ plots,
60.000+ ha
• Solid results supported by the results of the validation campaigns
• More field campaigns (2019 - 2020)
• Harmonization with the official workflows
• Fine tuning for the continuation of the implementation at national level
• Trials in other countries / geographical areas
CONCLUSIONS & PERSPECTIVES
CAP support @ Romania –Monitoring results
CAP support monitoring
service trials during
2017, 2018 & 2019
for 10 000 sqkm AOI
in Southeastern Romania
Example of observed
crop type maps
32 classes crop maps
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. It is the property of the DataBio consortium and shall not be distributed or
reproduced without the formal approval of the DataBio Management Committee. Find us at www.databio.eu.
19
CAP Support @ Greece
PILOT SUMMARY
• Pilot in N.Greece that will evaluate a set of EO-based
services designed appropriately to support specific
needs of the CAP value chain stakeholders and more
specifically to lead to an improved “Greening”
compliance,
• The ambition of the current pilot is to deal effectively
with CAP demands for agricultural crop type
identification, systematic observation, tracking and
assessment of eligibility conditions over a period of
time,
• The pilot is fully aligned with the main concepts of the
new agricultural monitoring system and adopts a
technology-driven traffic light methodology .
DATABIO PARTNERS INVOLVED
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. It is the property of the DataBio consortium and shall not be distributed or
reproduced without the formal approval of the DataBio Management Committee. Find us at www.databio.eu.
20
SUCCESS STORIES
Farming Service Center of Thessaloniki, Greece, 2018 Greening Aid Eligibility Compliance
CAP Support @ Greece
Crop group AP Assessment Traffic
Light
Area
Determined
(ha)
AP ID Declared Detected Status Categorization
001 Crop
group 1
Crop group
1
Assessed Compliant 8,3
002 Crop
group 2
Crop group
2
Assessed Compliant 5,1
003 Crop
group 1
Crop group
2
Assessed Non-compliant 4,2
004 Crop
group 1
??? Assessed Insufficient
evidence
2,3
005 Crop
group 3
Crop group
3
Assessed Compliant 10.5
006 Crop
group 2
Not
Assessed
No results
available
0.2
Total 30.4
• Targeted Crops: All major annual regional crops like rice,
wheat, cotton, maize, tobacco, sugar beet, fallow (~20% of
total cultivated area coverage)
• Targeted Parcels: >10ha that need to be checked for the
Greening requirement related to crop diversification
Our approach
• Different ML methodologies have been examined (e.g.
Decision Trees, Random Forest, Support Vector Machines)
• Random Forest exhibited the best overall accuracy (~90%)
in addition to providing the fastest response
• Next steps will focus on classifying crops in new and
unseen data (of different cultivating period), in order to
address challenges imposed by inter-year changes in crop
cultivation periods
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. It is the property of the DataBio consortium and shall not be distributed or
reproduced without the formal approval of the DataBio Management Committee. Find us at www.databio.eu.
21
Private forest management platform
• Innovations
• Introduced new XML-based standard for forest management plan
which enables easy data sharing
• Developed mobile app
• For ‘field work quality monitoring’ and ‘forest threat data collection’
• Also collects forest threat data at field (crowd-sourcing)
• Developed new standard interfaces on Wuudis platform to integrate
different forest data sources
• From drone monitoring, very high-resolution satellite data etc.
• Finnish Forestry Center made the forest resource data openly available
• data on timber stock and growth conditions
• data on forest compartments
• Impact
• Current customers of the platform confirm that a savings of 70% working time is
achieved
• Deployed in Finland, business-tested in Spain (Galicia), Belgium (Wallonia) and Czechia
• On the Finnish open data service, over 16TB were downloaded since March 2018
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. It is the property of the DataBio consortium and shall not be distributed or
reproduced without the formal approval of the DataBio Management Committee. Find us at www.databio.eu.
22
Web-mapping service for the government decision making
Goals:
• Lack of accurate and timely information
about forest health trends
(bark beetle calamity etc.)
• Identification of cadastres with severe forest dieback and first symptoms of dieback
• Will be used by the Ministry of Agriculture of Czech Republic, regional authorities for rationalization of the
use of available harvesting resources for pro-active management in forests
• Optimization of timber harvesting and processing resources (lack of capacity) to areas where their use is
the most effective example to limit or even stop the bark beetle calamity
• Directing subsidies on this background
Distribution subsidy, legislative measures etc.
Timber harvesting and
processing resources (limited)
Web-mapping service
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. It is the property of the DataBio consortium and shall not be distributed or
reproduced without the formal approval of the DataBio Management Committee. Find us at www.databio.eu.
23
Web-mapping service for the government decision making
Total amount of subsidies in Czechia to forestry mainly to mitigate results of bark beetle calamity, climate change etc.:
Results:
• Web-mapping service for government decision making
• According to this map, the Ministry of Agriculture issued „Public decree“ to help forest owners by reducing the
regulation of their obligations so that they can manage the bark beetle calamity (on 4/2019, updated on 9/2019)
• Based to this map and the legislation instrument, the forest owner can modify forest management (optimization of
timber harvesting and processing resources, partial release of regulation for the transfer of seeds etc.)
• All these measures will help reduce the overall loss to forest owners due to climate change and the ongoing bark
beetle calamity in the Czech Republic
• The overall loss may be close to hundreds of millions of euros
2018 2019 2020 2021
25490196EUR 47058824EUR 78431373EUR 98039216EUR
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. It is the property of the DataBio consortium and shall not be distributed or
reproduced without the formal approval of the DataBio Management Committee. Find us at www.databio.eu.
24
Oceanic tuna fisheries immediate operational choices
• Goals:
• Improve vessel energy efficiency
• Predict machinery faults
• Vessel loading to minimize fuel consumption
• Improvement 1 of 3: Analysis and visualizations with OpenVA on vessel
energy performance and for comparison with other vessels
24. 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. It is the property of the DataBio consortium and shall not be distributed or
reproduced without the formal approval of the DataBio Management Committee. Find us at www.databio.eu.
25
Oceanic tuna fisheries immediate operational choices
• Improvement 2 of 3: Fault detection via
comparing with new engine model
• Improvement 3 of 3: Event detection in advance
with PROTON CEP
25. 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. It is the property of the DataBio consortium and shall not be distributed or
reproduced without the formal approval of the DataBio Management Committee. Find us at www.databio.eu.
26
Oceanic tuna fisheries planning
• Goal: Fuel consumption optimization by the use of tools that aid in trip
planning by presenting historical catch data as well as attempting to
forecast where the fish might be in the near future
• Early results: 19% average reduction of fuel consumption per kg of
catch
• High contribution to a chapter of an upcoming FAO report
Green/red cycles: Successful/failed fishing attempts
26. 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. It is the property of the DataBio consortium and shall not be distributed or
reproduced without the formal approval of the DataBio Management Committee. Find us at www.databio.eu.
27
Small pelagic fisheries planning
• Norwegian spring spawning herring is a key species in the North Sea, both economically and ecologically
• In DataBio we built a forecast tool based on a marine ecosystem model including migration mechanisms
for the fish
• Migration model for herring in the
dynamic 3D ocean model SINMOD
• The model is particle based and
controlled by food supply,
temperature and ocean current
• Data from fish catch and sea surface
temperature from satellites are used
to improve the forecasts
27. 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. It is the property of the DataBio consortium and shall not be distributed or
reproduced without the formal approval of the DataBio Management Committee. Find us at www.databio.eu.
28
Small pelagic market predictions and traceability
• Goal: Finding and catching the right species efficiently and at the
right time and place, while taking into account strategic
considerations like market fluctuations and multiple fisheries
seasons
• In DataBio we have developed a fisheries web portal for the
Norwegian pelagic fisheries for supporting such decisions
• Enables “digging” in historic catch data, in particular to investigate how
prices and catches historically has depended upon season, location and
species
• Enables finding how environmental factors have affected catches, in
particular, covariance between zooplankton concentrations and pelagic
catches
• Shows forecasts for the
marine environment
• After fishermen have found
interesting historical
covariations between
environment and catches,
predictions of the
environment can benefit
choice of fishing grounds
for the next days
28. 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. It is the property of the DataBio consortium and shall not be distributed or
reproduced without the formal approval of the DataBio Management Committee. Find us at www.databio.eu.
29
W www.databio.eu
E info@databio.eu
agriXchange / DataBio
@DataBio_eu
DataBioProject