Big Data in Bioeconomy Results from the European DataBio Project 1st Edition by Caj Södergård, Tomas Mildorf, Ephrem Habyarimana, Arne Berre, Jose Fernandes, Christian Zinke Wehlmann 978-3030710682

Big Data in Bioeconomy Results from the European DataBio Project 1st Edition by Caj Södergård, Tomas Mildorf, Ephrem Habyarimana, Arne Berre, Jose Fernandes, Christian Zinke Wehlmann – Ebook PDF Instant Download/Delivery. 978-3030710682

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ISBN 13: 978-3030710682

Author: Caj Södergård, Tomas Mildorf, Ephrem Habyarimana, Arne J. Berre, Jose A. Fernandes, Christian Zinke Wehlmann

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.

Big Data in Bioeconomy Results from the European DataBio Project 1st Table of contents:

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

Big Data Visualization

Applications in Agriculture

Introduction of Smart Agriculture

Smart Farming for Sustainable Agricultural Production

Genomic Prediction and Selection in Support of Sorghum Value Chains

Yield Prediction in Sorghum and Cultivated Potato

Delineation of Management Zones Using Satellite Imageries

Farm Weather Insurance Assessment

Copernicus Data and CAP Subsidies Control

Future Vision, Summary, and Outlook

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

Monitoring of Bark Beetle Forest Damages

Conclusions and Outlook: Summary of Big Data in Forestry

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 Pelagics Fisheries Pilots

Conclusions and Future Vision on Big Data in Pelagic Fisheries Sustainability

Summary and Outlook

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