Big Data in Bioeconomy: Results from the European DataBio Project

Terms, Acronyms and Abbreviations

Foreword  (PO or Director Data at European Commission- DG CONNECT)

Introduction to the book and the project & acknowledgements (Editors, Thanasis)

Part I - Technological Foundation: Big Data Technologies for BioIndustries 

Chapter 1: State of the art of technology and market potential (Caj Södergård/VTT et al) 

Chapter 2: Standards (Ingo Simonis/OGC et al)

Chapter 3 : Sensor Data (Savvas Rogotis/NP et al)

Chapter 4: Geospatial Data (Eva Klien /Fraunhofer et al)

Chapter 5: Crowdsourced Data (Karel Charvat/Lespro)

Chapter 6 : Genomics Data (Ephrem Habyarimana /CREA et al)

Chapter 7: Integrating data sources with Linked Data (Christian Zinke-Wehlmann/Infai et al)

Chapter 8: Linked Data usages in DataBio (Christian Zinke-Wehlmann/Infai et al)

Chapter 9: Data Pipelines: Modelling and Evaluation of models (Kais Chaabouni)/Softeam et al 

Chapter 10: Data Analytics and Machine Learning (Pekka Siltanen/VTT et al)

Chapter 11:  Real Time Data Processing (Fabiana Fournier/IBM, et al)

Chapter 12: Privacy Preserving Analytics, Processing and Data Management (Baldur Kubo/Cybernetica)

Chapter 13: Data Visualisation (Eva Klien/Fraunhofer et al)

Part II - Applications in Agriculture               

                Chapter 14:  What is Smart Agriculture (Ephrem Habyarimana/CREA, Christian Zinke-Wehlmann/Infai)

Chapter 15: NP's Smart farming pilots (Savvas Rogotis/NP).

Chapter 16: Big Data assets applied to the calculation of Irrigation needs in large scale Irrigation Communities (Iluminada Sevilla/Tragsa et al)

               Chapter 17: Genomics Biomass pilots (Ephrem Habyarimana/CREA et al)

Chapter 18: Yield estimation in Sorghum and Cultivated Potato (Ephrem Habyarimana/CREA, Nicole

Chapter 19: Yield variability  mapping (Karel Charvat, Lespro et al)

Chapter 20: Farm Weather Insurance Assessment (Antonella Catucci/e-Geos).  

Chapter 21: Copernicus Data and CAP Subsidies Control (Olimpia Copacenaru

       /Terrasigna et al)

Chapter 22: Future vision, Summary and Outlook

Part III - Applications in Forestry           

Chapter 23: State of the art of technology and market potential (Jukka 

Miettinen/VTT)

Chapter 24: Finnish Forest Data based Metsään.fi-services (Virpi Stenman/Metsäkeskus)

               Chapter 25: Forest variable estimation and change monitoring by Big Data remote

                               sensing ( Jukka Miettinen/VTT et al)

Chapter 26: Monitoring Forest Health: Big Data applied to diseases and plagues control (María Jose

Checa et al/Tragsa)

Chapter 27: Forest damage monitoring for the bark beetle (Petr Lukes/ FMI)                  

Chapter 28: Future Vision, Summary of Big Data in Forestry (Jukka Miettinen/VTT et al)                        

Part IV - Applications in Fishery              

Chapter 29: State of the art of technology and market potential (Karl-Johan Reite /SINTEF et al)

Chapter 30: Tuna Fisheries (Iñaki Quincoces/AZTI et al)

Chapter 31: Small pelagic fisheries (K.G.A/SINTEF et al)

Chapter 32: Future Vision, Summary and Outlook (Josean Fernandes/AZTI et al)

Part V - Summary and Outlook

Chapter 33: Summary of Potential of Big Data Technology 

Chapter 34: Outreach, Perspective, Exploitation

Chapter 35: How can I apply Big Data?