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Big Data in Bioeconomy

- Results from the European DataBio Project
Engelsk Paperback

Big Data in Bioeconomy

- Results from the European DataBio Project
Engelsk Paperback
Tjek vores konkurrenters priser

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

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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

Produktdetaljer
Sprog: Engelsk
Sider: 423
ISBN-13: 9783030710712
Indbinding: Paperback
Udgave:
ISBN-10: 3030710718
Udg. Dato: 14 aug 2021
Længde: 27mm
Bredde: 234mm
Højde: 156mm
Forlag: Springer Nature Switzerland AG
Oplagsdato: 14 aug 2021
Forfatter(e):
Forfatter(e)


Kategori Økologi, biosfæren


ISBN-13 9783030710712


Sprog Engelsk


Indbinding Paperback


Sider 423


Udgave


Længde 27mm


Bredde 234mm


Højde 156mm


Udg. Dato 14 aug 2021


Oplagsdato 14 aug 2021


Forlag Springer Nature Switzerland AG

Kategori sammenhænge