Terms, Acronyms and Abbreviations
Foreword (PO or Director Data at European Commission- DG CONNECT)
Introduction to the book and the project & acknowledgements (Editors, Thanasis)
Part I - Technological Foundation: Big Data Technologies for BioIndustries
Chapter 1: State of the art of technology and market potential (Caj Södergård/VTT et al)
Chapter 2: Standards (Ingo Simonis/OGC et al)
Chapter 3: Sensor Data (Savvas Rogotis/NP et al)
Chapter 4: Geospatial Data (Eva Klien /Fraunhofer et al)
Chapter 5: Crowdsourced Data (Karel Charvat/Lespro)
Chapter 6: Genomics Data (Ephrem Habyarimana /CREA et al)
Chapter 7: Integrating data sources with Linked Data (Christian Zinke-Wehlmann/Infai et al)
Chapter 8: Linked Data usages in DataBio (Christian Zinke-Wehlmann/Infai et al)
Chapter 9: Data Pipelines: Modelling and Evaluation of models (Kais Chaabouni)/Softeam et al
Chapter 10: Data Analytics and Machine Learning (Pekka Siltanen/VTT et al)
Chapter 11: Real Time Data Processing (Fabiana Fournier/IBM, et al)
Chapter 12: Privacy Preserving Analytics, Processing and Data Management (Baldur Kubo/Cybernetica)
Chapter 13: Data Visualisation (Eva Klien/Fraunhofer et al)
Part II - Applications in Agriculture
Chapter 14: What is Smart Agriculture (Ephrem Habyarimana/CREA, Christian Zinke-Wehlmann/Infai)
Chapter 15: NP's Smart farming pilots (Savvas Rogotis/NP).
Chapter 16: Big Data assets applied to the calculation of Irrigation needs in large scale Irrigation Communities (Iluminada Sevilla/Tragsa et al)
Chapter 17: Genomics Biomass pilots (Ephrem Habyarimana/CREA et al)
Chapter 18: Yield estimation in Sorghum and Cultivated Potato (Ephrem Habyarimana/CREA, Nicole
Bartelds/NB Advies) Chapter 19: Yield variability mapping (Karel Charvat, Lespro et al)
Chapter 20: Farm Weather Insurance Assessment (Antonella Catucci/e-Geos).
Chapter 21: Copernicus Data and CAP Subsidies Control (Olimpia Copăcenaru
/Terrasigna et al)
Chapter 22: Future vision, Summary and Outlook
Part III - Applications in Forestry
Chapter 23: State of the art of technology and market potential (Jukka
Miettinen/VTT)
Chapter 24: Finnish Forest Data based Metsään.fi-services (Virpi Stenman/Metsäkeskus)
Chapter 25: Forest variable estimation and change monitoring by Big Data remote
sensing ( Jukka Miettinen/VTT et al)
Chapter 26: Monitoring Forest Health: Big Data applied to diseases and plagues control (María Jose
Checa et al/Tragsa)
Chapter 27: Forest damage monitoring for the bark beetle (P
About the Author:
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 and is 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 University of 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.
