Project information
Si-EU-Soil
(SIEUSIOL)
- Project Identification
- 818346
- Project Period
- 6/2019 - 11/2022
- Investor / Pogramme / Project type
-
European Union
- Horizon 2020
- Food security, sustainable agriculture and forestry, marine and maritime and inland water research (Societal Challenges)
- MU Faculty or unit
- Faculty of Science
- Cooperating Organization
-
University of Thessaloniki
Lesprojekt sluzby Ltd.
University of Peking
Universität für Bodenkultur Wien
Ghent University
Vlaamse instelling voor technologisch Onderzoek
Zhejiang University
The general aim of SIEUSOIL is to develop a sustainable and holistic soil management practices based on a harmonised land information system suitable for diverse climate and operation conditions along different EU and China locations. A research platform consisting of advanced crop and soil sensing tools, modelling and data fusion, digital soil mapping and farm management information systems will be developed to maximise land productivity and socio-economic benefits, while minimising the environmental impacts.
Publications
Total number of publications: 17
2022
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An Advanced Open Land Use Database as a Resource to Address Destination Earth Challenges
Land, year: 2022, volume: 11, edition: 9, DOI
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Improving the documentation and findability of data services and repositories: A review of (meta)data management approaches
Computers & Geosciences, year: 2022, volume: 169, edition: December, DOI
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Mapping Soil Properties with Fixed Rank Kriging of Proximally Sensed Soil Data Fused with Sentinel-2 Biophysical Parameter
Remote Sensing, year: 2022, volume: 14, edition: 7, DOI
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Role geografických poznatků a geoinformačních technologií při snižování nežádoucích enviromentálních jevů v precizním zemědělství
Year: 2022, type: Conference abstract
2021
-
Disaster Risk Management towards Healthier Soils in Crisis Situations
Year: 2021, type: Conference abstract
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Humanitarian Mapping as a Contribution to Achieving Sustainable Development Goals: Research into the Motivation of Volunteers and the Ideal Setting of Mapathons
Sustainability, year: 2021, volume: 13, edition: 24, DOI
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Kartografická vizualizace nejistot velkých dat ze senzorů zemědělských strojů
Year: 2021, type: Appeared in Conference without Proceedings
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Machine Learning-Based Processing Proof-of-Concept Pipeline for Semi-Automatic Sentinel-2 Imagery Download, Cloudiness Filtering, Classifications, and Updates of Open Land Use/Land Cover Datasets
ISPRS International Journal of Geo-Information, year: 2021, volume: 10, edition: 2, DOI
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TOWARDS DEVELOPMENT AND VERIFICATION OF ADVANCED OPTIMAL FARM MACHINERY ROUTE ALGORITHM
GIS Ostrava 2021 – Advances in Localization and Navigation, year: 2021
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Towards the Development and Verification of a 3D-Based Advanced Optimized Farm Machinery Trajectory Algorithm
Sensors, year: 2021, volume: 21, edition: 9, DOI