Big Data in Bioeconomy
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...
保存先:
| フォーマット: | Online |
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| 言語: | 英語 |
| 出版事項: |
Springer Nature
2021
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| 主題: | |
| オンライン･アクセス: | ONIX_20211005_9783030710699_9 |
| タグ: |
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| _version_ | 1869523295247794176 |
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| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-72050 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | Springer Nature |
| publisherStr | Springer Nature |
| record_format | ojs |
| spelling | doab-20.500.12854ir-720502025-05-08T10:00:42Z Big Data in Bioeconomy Södergård, Caj Mildorf, Tomas Habyarimana, Ephrem Berre, Arne J. Fernandes, Jose A. Zinke-Wehlmann, Christian Data-driven bioeconomy big data artificial intelligence agriculture forestry earth observation satellite images fishery open access 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. 2021-10-06T04:01:56Z 2021-10-06T04:01:56Z 2021-10-05T14:05:11Z 2021 book ONIX_20211005_9783030710699_9 OCN: 1264407940 https://library.oapen.org/handle/20.500.12657/50710 9783030710699 https://directory.doabooks.org/handle/20.500.12854/72050 eng open access image/jpeg image/jpeg image/jpeg image/jpeg n/a n/a n/a n/a https://library.oapen.org/bitstream/20.500.12657/50710/1/978-3-030-71069-9.pdf https://library.oapen.org/bitstream/20.500.12657/50710/1/978-3-030-71069-9.pdf https://library.oapen.org/bitstream/20.500.12657/50710/1/978-3-030-71069-9.pdf https://library.oapen.org/bitstream/20.500.12657/50710/1/978-3-030-71069-9.pdf Springer Nature Springer 10.1007/978-3-030-71069-9 10.1007/978-3-030-71069-9 9fa3421d-f917-4153-b9ab-fc337c396b5a H2020 European Research Council 178e65b9-dd53-4922-b85c-0aaa74fce079 9783030710699 European Research Council (ERC) EU collection Springer 423 732064 open access |
| spellingShingle | Data-driven bioeconomy big data artificial intelligence agriculture forestry earth observation satellite images fishery open access Big Data in Bioeconomy |
| title | Big Data in Bioeconomy |
| title_full | Big Data in Bioeconomy |
| title_fullStr | Big Data in Bioeconomy |
| title_full_unstemmed | Big Data in Bioeconomy |
| title_short | Big Data in Bioeconomy |
| title_sort | big data in bioeconomy |
| topic | Data-driven bioeconomy big data artificial intelligence agriculture forestry earth observation satellite images fishery open access |
| topic_facet | Data-driven bioeconomy big data artificial intelligence agriculture forestry earth observation satellite images fishery open access |
| url | ONIX_20211005_9783030710699_9 |