Big Data in Bioeconomy

<p><b>Terms, Acronyms and Abbreviations</b></p><p><b>Foreword</b>  (PO or Director Data at European Commission- DG CONNECT) </p><p><b>Introduction to the book and the project & acknowledgements</b> (Editors, Thanasis) </p> <p></p><p><b>Part I - Technological Foundation: Big Data Technologies for BioIndustries  </b></p><p><b>Chapter 1:</b> S<b>tate of the art of technology and market potential</b> (Caj Södergård/VTT<b> </b>et al)  </p><p><b>Chapter 2: </b><b>Standards</b> (Ingo Simonis/OGC et al)</p><p><b>Chapter 3 : Sensor Data</b> (Savvas Rogotis/NP et al)</p><p><b>Chapter 4: Geospatial Data </b>(Eva Klien /Fraunhofer et al) </p><p><b>Chapter 5: Crowdsourced Data</b> (Karel Charvat/Lespro)</p><p><b>Chapter 6 : Genomics Data </b>(Ephrem Habyarimana<b> </b>/CREA et al)</p><p><b>Chapter 7:</b><b> </b><b>Integrating data sources with Linked </b><b>Data </b>(Christian Zinke-Wehlmann/Infai et al)</p><p><b>Chapter 8: Linked Data usages in DataBio </b>(Christian Zinke-Wehlmann/Infai et al)</p><p><b>Chapter 9:</b><b> </b><b>Data Pipelines: Modelling and Evaluation of</b><b> </b><b>models </b>(Kais Chaabouni)/Softeam et al<b> </b></p><p><b>Chapter 10:</b><b> Data Analytics and Machine Learning</b><b> </b>(Pekka Siltanen/VTT et al)</p><p><b>Chapter 11: </b><b> Real Time Data Processing </b>(Fabiana Fournier/IBM<b>, </b>et al) </p><p><b>Chapter 12:</b><b> Privacy Preserving Analytics, Processing and Data Management</b> (Baldur Kubo/Cybernetica)</p><p><b>Chapter 13:</b><b> Data Visualisation</b> (Eva Klien/Fraunhofer et al)</p><p><b> </b></p><p><b>Part II - Applications in Agriculture</b>               </p><p><b>                Chapter 14:  </b><b>What is Smart Agriculture </b>(Ephrem Habyarimana/CREA, Christian Zinke-Wehlmann/Infai)<b></b></p><p><b>Chapter 15:</b><b> NP''s Smart farming pilots</b> (Savvas Rogotis/NP). </p><p><b>Chapter 16:</b><b> Big Data assets applied to the calculation of Irrigation needs in large scale Irrigation Communities</b> (Iluminada Sevilla/Tragsa et al)</p><p>               <b>Chapter 17:</b><b> Genomics Biomass pilots</b> (Ephrem Habyarimana/CREA et al)</p><p><b>Chapter 18: Yield estimation </b><b>in Sorghum and Cultivated Potato</b> (Ephrem Habyarimana/CREA, Nicole </p>Bartelds/NB Advies)<p></p><p><b>Chapter 19:</b> <b>Yield variability  mapping</b> (Karel Charvat, Lespro et al)</p><p><b>Chapter 20:</b><b> Farm Weather Insurance Assessment</b> (Antonella Catucci/e-Geos).  </p><p><b>Chapter 21:</b><b> Copernicus Data and CAP Subsidies Control </b>(Olimpia Copăcenaru</p><p>       /Terrasigna et al)</p><p><b>Chapter 22: Future vision, Summary and Outlook</b> </p> <p></p><p><b>Part III - Applications in Forestry</b>           </p><p><b>Chapter 23: State of the art of technology and market potential</b> (Jukka  </p><p>Miettinen/VTT)</p><p><b>Chapter 24:</b><b> Finnish Forest Data based Metsään.fi-services</b> (Virpi Stenman/Metsäkeskus) </p><p>               <b>Chapter 25:</b><b> Forest variable estimation and change monitoring by Big Data remote </b></p><p><b>                               </b><b>sensing</b> ( Jukka Miettinen/VTT et al) </p><p><b>Chapter 26:</b><b> Monitoring Forest Health: Big Data applied to diseases and plagues control </b>(María Jose </p><p>Checa et al/Tragsa)</p><p><b>Chapter 27:</b><b> Forest damage monitoring for the bark beetle </b>(P