Big Data in Bioeconomy : Results from the European DataBio Project
2021 ed.
Book Details
Delivery Location
Delivery fee: Select location
Delivery in 14 days
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
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 Copăcenaru
/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 (P
Get Big Data in Bioeconomy by at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by Springer Nature Switzerland AG and it has pages.
