Big Data in Bioeconomy
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 andfishery. 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.
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About the Editors:
Dr Caj Södergård is Research Professor at VTT and Dr. Tech. from Helsinki University of Technology. He has worked as machine vision designer at Decon Oy and as Scientist, Senior Scientist and Area Manager at VTT. He has focused on processing and analysis of big data in media, learning, nutrition, environment and bioeconomy. He has 260 publications and 5 patents. He was in the European High Level Expert Group on Open Science Cloud. He is on the Board for Big Data Value Association and was Chair of the European Big Data Value Forum 2019. He was Technical Manager of DataBio.
Dr Tomas Mildorf is a researcher at the Department of Geomatics at the University of West Bohemia, Czech Republic. Tomas is responsible for European research projects, their management and scientific lead. The main thematic domains include agriculture, rural development, transport and spatial planning. Tomas is the chairman of the Plan4all association andis involved in activities of the Group on Earth Observations, Big Data Value Association and the Open Geospatial Consortium.
Dr Ephrem Habyarimana , Ir, MS, MS, MASt, PhD, a Research Scientist at CREA, Italy, has documented skills and expertise of more than 25 years in agronomy, crop science, genetics and plant breeding integrating diverse technologies i.e., agroecological and genomic modelling, big data analytics e.g., phenomics, genomics for the sustainable crop improvement. He trained in North and Latin America, Africa, Asia, and Europe, authored 40+ scientific papers; is inventor: DeepTech innovations, European DataSci & Artificial Intelligence Awards finalist, co-author of 5 sorghum varieties.
Dr. Arne J. Berre is Chief Scientist at SINTEF Digital and is Innovation Director at the Norwegian Center for AI Innovation (NorwAI). His PhD is from NTNU in 1993 is on the topic of Systems Interoperability. He is the leader of the BDVA TF6 on Technical priorities and is involved in ISO SC42 on AI and Big Data. He was responsible for the platform reference model in the DataBio project. He has been in the technical lead of more than 20 European projects and has more than 100 scientific publications.
Dr. Jose A. Fernandes is a scientist from computing and artificial intelligence studies with the skills and experience needed to translate the data into valuable information for marine research. These skills are curiosity, multidisciplinary communicative, biological, oceanographic, economic, statistics and machine learning expertise. Current line of research is about mitigation of impacts and long-term sustainability of fisheries using the above skills. He has over 120 publications, 40 in scientific publications in high impact journals.
Dr Christian Zinke-Wehlmann is a research group leader for "Efficient Technology Integration" at the Institute for Applied Informatics at the Universityof Leipzig. Working at the edge of technology, work, and service systems, he became a doctor in 2017. His research concentrates on Linked Data, Data Analytics, Data Visualisation, Service Engineering and Management, as well as Knowledge Management. This expertise is represented in this publication and in more than 40 other publications.
Content
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 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.- 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.