Description
| Product ID: | 9783030710712 |
| Product Form: | Paperback / softback |
| Country of Manufacture: | CH |
| Title: | Big Data in Bioeconomy |
| Subtitle: | Results from the European DataBio Project |
| Authors: | Author: Arne J. Berre, Tomas Mildorf, Jose A. Fernandes, Ephrem Habyarimana, Christian Zinke-Wehlmann, Caj Sodergard |
| Page Count: | 423 |
| Subjects: | Agriculture, agribusiness and food production industries, Agriculture & related industries, Energy industries and utilities, Ecological science, the Biosphere, Agricultural science, Forestry and silviculture, Databases, Energy industries & utilities, Ecological science, the Biosphere, Agricultural science, Forestry & silviculture: practice & techniques, Databases |
| Description: | Select Guide Rating This edited open access book presents the comprehensive outcome of The European DataBio Project, which examined new data-driven methods to shape a bioeconomy. 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 |
| Imprint Name: | Springer Nature Switzerland AG |
| Publisher Name: | Springer Nature Switzerland AG |
| Country of Publication: | GB |
| Publishing Date: | 2021-08-14 |
