MLSpAnFOSS 2026 - The Machine Learning and Spatial Analysis with Free Open Source Software Conference

#open-source-software #machine-learning #remote-sensing #forestry #big-data

Machine learning and artificial intelligence methods are finding increasingly wider applications in spatial analysis. The Machine Learning and Spatial Analysis with Free Open Source Software (MLSpAnFOSS 2026) conference is a forum where machine learning and spatial analysis specialists who use open-source software can meet. The conference's purpose extends beyond presenting machine learning and spatial analysis solutions. It also introduces full accessibility to the presented methods and analytical solutions.

Conference Topics:

• Machine learning with open-source tools
• Big data and geospatial analytics
• Applications using freely available datasets
• AI methods in environmental modelling
• Processing natural data with open-source software

For more information visit official conference website.

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• aleja 29 Listopada
• 46
• Kraków, Malopolskie
• Poland 31-425
• Click here for Map

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• Co-sponsored by University of Agriculture in Krakow, Faculty of Forestry
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• Link to External Registration

The conference is organized by the Faculty of Forestry at the University of Agriculture in Krakow, the IEEE GRSS Poland Chapter, the IEEE GRSS Austria Chapter, and the OSGeo PL. Dr. Dominika Cywicka is the conference secretary.