@article{1431114,
      recid = {1431114},
      author = {Södergård, Caj, and Mildorf, Tomas, and Habyarimana,  Ephrem, and Berre, Arne J., and Fernandes, Jose A., and  Zinke-Wehlmann, Christian,},
      title = {Big data in bioeconomy : results from the European DataBio  Project /},
      pages = {1 online resource (xv, 423 pages) :},
      abstract = {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.},
      url = {http://library.usi.edu/record/1431114},
      doi = {https://doi.org/10.1007/978-3-030-71069-9},
}