Big data in bioeconomy : results from the European DataBio Project / Caj Södergård, Tomas Mildorf, Ephrem Habyarimana, Arne J. Berre, Jose A. Fernandes, Christian Zinke-Wehlmann, editors.
Södergård, Caj, editor.; Mildorf, Tomas, editor.; Habyarimana, Ephrem, editor.; Berre, Arne J., editor.; Fernandes, Jose A., editor.; Zinke-Wehlmann, Christian, editor
2021
QH705
Available Online

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Title
Big data in bioeconomy : results from the European DataBio Project / Caj Södergård, Tomas Mildorf, Ephrem Habyarimana, Arne J. Berre, Jose A. Fernandes, Christian Zinke-Wehlmann, editors.
ISBN
9783030710699 (electronic bk.)
3030710696 (electronic bk.)
9783030710682 (print)
DOI
https://doi.org/10.1007/978-3-030-71069-9
Published
Cham, Switzerland : Springer, 2021.
Language
English
Description
1 online resource (xv, 423 pages) : illustrations (some color)
Item Number
10.1007/978-3-030-71069-9 doi
Call Number
QH705
Dewey Decimal Classification
333.95
Summary
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 to use these new findings to support decision-makers and producers -- meaning farmers, land and forest owners and fishermen. With their 27 pilot projects from 17 countries, the authors examine important sectors and highlight examples where modern data-driven methods were used to increase sustainability. How can farmers, foresters or fishermen use these insights in their daily lives? The authors answer this and other questions for our readers. The first four parts of this book give an overview of the big data technologies relevant for optimal raw material gathering. The next three parts put these technologies into perspective, by showing useable applications from farming, forestry and fishery. The final part of this book gives a summary and a view on the future. With its broad outlook and variety of topics, this book is an enrichment for students and scientists in bioeconomy, biodiversity and renewable resources.
Access Note
Open access.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed August 20, 2021).
Added Author
Södergård, Caj, editor.
Mildorf, Tomas, editor.
Habyarimana, Ephrem, editor.
Berre, Arne J., editor.
Fernandes, Jose A., editor.
Zinke-Wehlmann, Christian, editor
Linked Resources
Online Access
Record Appears in
Online Resources > Ebooks
All Resources
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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