Big Data in Bioeconomy
portes grátis
Big Data in Bioeconomy
Results from the European DataBio Project
Fernandes, Jose A.; Habyarimana, Ephrem; Soedergard, Caj; Mildorf, Tomas; Zinke-Wehlmann, Christian; Berre, Arne J.
Springer Nature Switzerland AG
08/2021
423
Mole
Inglês
9783030710712
15 a 20 dias
676
Descrição não disponível.
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 Metsaeaen.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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Data-driven bioeconomy;big data;artificial intelligence;agriculture;forestry;earth observation;satellite images;fishery;open access
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 Metsaeaen.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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