Big Data in Bioeconomy Results from the European DataBio Project
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...
| Other Authors: | , , , |
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| Format: | eBook |
| Language: | English |
| Published: |
Cham
Springer International Publishing
2021, 2021
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| Edition: | 1st ed. 2021 |
| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
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