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Big Data in Bioeconomy : Results from the European DataBio Project / / edited by Caj Södergård, Tomas Mildorf, Ephrem Habyarimana, Arne J. Berre, Jose A. Fernandes, Christian Zinke-Wehlmann
Big Data in Bioeconomy : Results from the European DataBio Project / / edited by Caj Södergård, Tomas Mildorf, Ephrem Habyarimana, Arne J. Berre, Jose A. Fernandes, Christian Zinke-Wehlmann
Autore Södergård Caj
Edizione [1st ed. 2021.]
Pubbl/distr/stampa 2021
Descrizione fisica 1 online resource (416 p.)
Disciplina 634.9
577.3
Altri autori (Persone) MildorfTomas
HabyarimanaEphrem
BerreArne J
FernandesJose A
Zinke-WehlmannChristian
Soggetto topico Forests and forestry
Agriculture - Economic aspects
Big data
Power resources
Environmental economics
Forestry
Agricultural Economics
Big Data
Resource and Environmental Economics
ISBN 3-030-71069-6
Classificazione BUS069000BUS070010COM021000TEC003040
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 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.
Record Nr. UNINA-9910494568803321
Södergård Caj  
2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Empowering Wheat Cultivation with GIS, Digital Approaches and Artificial Intelligence / / edited by Nusret Zencirci, Faheem Shehzad Baloch, Jin-Ying Gou, Velimir Mladenov, Sotirios Fragkostefanakis, Marta da Silva Lopes, Ephrem Habyarimana, Hakan Ulukan, Asuman Kaplan Evlice
Empowering Wheat Cultivation with GIS, Digital Approaches and Artificial Intelligence / / edited by Nusret Zencirci, Faheem Shehzad Baloch, Jin-Ying Gou, Velimir Mladenov, Sotirios Fragkostefanakis, Marta da Silva Lopes, Ephrem Habyarimana, Hakan Ulukan, Asuman Kaplan Evlice
Autore Zencirci Nusret
Edizione [1st ed. 2025.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Descrizione fisica 1 online resource (426 pages)
Disciplina 630
Altri autori (Persone) BalochFaheem Shehzad
GouJin-Ying
MladenovVelimir
FragkostefanakisSotirios
da Silva LopesMarta
HabyarimanaEphrem
UlukanHakan
Kaplan EvliceAsuman
Collana Biomedical and Life Sciences Series
Soggetto topico Agriculture
Plant biotechnology
Stress (Physiology)
Plants
Plant genetics
Automatic control
Robotics
Automation
Plant Biotechnology
Plant Stress Responses
Plant Genetics
Control, Robotics, Automation
ISBN 3-031-99954-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Securing Wheat Cultivation for Global Food Safety -- Climate Change in Wheat (Triticum spp.) Under the Light of Remote Sensing, Digital Evolution, Artificial intelligence -- Geographic Information Systems, Remote Sensing, Agroecosystems, Global Databases and Agricultural Planning -- Big Data Utilisation In Wheat Genetic Resources -- High Throughput Phenotyping in Wheat -- Combination of High Throughput Phenotyping and Genomics in Precise Wheat Breeding -- Predictive Modeling of Wheat Production in Turkiye: A NARX Network Approach Incorporating Climatic and Economic Factors -- Weather Forecasting and State-of-the-art Soil Analysis in Irrigated Precision Wheat Production -- How Low-Cost UAVs Could Revolutionize Field Research as a Substitute for Traditional Agronomic Measurements in Crop Phenotyping? -- Perfecting Wheat Quality, Quality Analysis, and Production Processes via Digital and Artificial Intelligence Approaches -- Infrared Sensing for Wheat Biochemical Analysis: Methods and Protocols -- Modern Approaches to Wheat Diseases -- Weed Management Approaches with GIS, Digital Approaches and Artificial Intelligence in Wheat Cultivation -- Smart Farming for Sustainable Wheat Intensification.
Record Nr. UNINA-9911031561103321
Zencirci Nusret  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui