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 Soedergard/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
Bartelds/NB Advies)
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 Metsaan.fi-services (Virpi Stenman/Metsakeskus)
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 (Maria 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 (Inaki 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?