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Big Data in Bioeconomy Results from the European DataBio Project /

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This edited open access book presents the comprehensive outcome of The European DataBio Project, which examined new data-driven methods to shape a bioeconomy. These methods are used to develop new and sustainable ways to use forest, farm and fishery resources. As a European initiative, the goal is t...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Södergård, Caj (Editor), Mildorf, Tomas (Editor), Habyarimana, Ephrem (Editor), Berre, Arne J. (Editor), Fernandes, Jose A. (Editor), Zinke-Wehlmann, Christian (Editor)
Format: Electronic eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2021.
Edition:1st ed. 2021.
Subjects:
Forestry.
Agriculture > Economic aspects.
Big data.
Power resources.
Environmental economics.
Agricultural Economics.
Big Data.
Resource and Environmental Economics.
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Table of Contents:
  • Part I - Technological Foundation: Big Data Technologies for BioIndustries: Big Data Technologies in DataBio
  • Standards and EO data platforms
  • Data Types: Sensor Data
  • Remote sensing
  • Crowdsourced Data
  • Genomics Data
  • Data Integration and Modelling: Linked Data and Metadata
  • Linked Data usages in Databio
  • Data Pipelines: Modeling and Evaluation of models
  • Analytics and visualization: Data Analytics and Machine Learning
  • Real-time Data Processing
  • Privacy Preserving Analytics, Processing and Data Management
  • Data Visualisation
  • Part II - Applications in Agriculture: Introduction Smart Agriculture
  • Smart farming for sustainable agricultural production
  • Genomics Biomass pilots
  • Yield Prediction in Sorghum (Sorghum bicolor (L.) Moench) and Cultivated Potato (Solanum tuberosum L.)
  • Delineation of management zones using satellite imageries
  • Farm Weather Insurance Assessment
  • Copernicus Data and CAP Subsidies Control
  • Future vision, Summary and Outlook
  • Part III Applications in Forestry: Introduction - state of the art of technology and market potential for Big Data in forestry
  • Finnish Forest Data based Metsään.fi-services
  • Forest variable estimation and change monitoring solutions based on remote sensing Big Data
  • Monitoring Forest Health: Big Data applied to diseases and plagues control
  • Forest damage monitoring for the bark beetle
  • Conclusions and Outlook - Summary of Big Data in forestry
  • Part IV Applications in Fishery: The potential of Big data for improving pelagic fisheries sustainability
  • Tuna fisheries fuel consumption reduction and safer operations
  • Sustainable and added value small pelagic fisheries pilots
  • Conclusion and future vision
  • Part V - Summary and Outlook: Summary of experiences of the potential and Exploitation of Big Data and AI in Bioeconomy
  • Glossary - Terminology, acronyms, abbreviations.

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