TY  - GEN
AU  - Södergård,Caj
AU  - Mildorf,Tomas
AU  - Habyarimana,Ephrem
AU  - Berre,Arne J.
AU  - Fernandes,Jose A.
AU  - Zinke-Wehlmann,Christian
AU  - Södergård,Caj
AU  - Mildorf,Tomas
AU  - Habyarimana,Ephrem
AU  - Berre,Arne J.
AU  - Fernandes,Jose A.
AU  - Zinke-Wehlmann,Christian
TI  - Big Data in Bioeconomy : Results from the European DataBio Project
SN  - 978-3-030-71069-9
PY  - 2021///
PB  - Springer Nature
KW  - Forestry & silviculture: practice & techniques
KW  - bicssc
KW  - Agricultural science
KW  - Databases
KW  - Environmental economics
KW  - Data-driven bioeconomy
KW  - big data
KW  - artificial intelligence
KW  - agriculture
KW  - forestry
KW  - earth observation
KW  - satellite images
KW  - fishery
KW  - open access
N1  - Open Access
N2  - 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
UR  - https://library.oapen.org/bitstream/20.500.12657/50710/1/978-3-030-71069-9.pdf
UR  - https://directory.doabooks.org/handle/20.500.12854/72050
ER  -