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DTSTART:20250608T220000Z
DTEND:20250613T220000Z
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CREATED:20250204
LAST-MODIFIED:20250204
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SUMMARY:Summer School on Agriculture, Forest and Environmental Geodata Statistical Analysis, Modelling and Machine Learning [SAFEST]
DESCRIPTION:The University of Pisa (Italy) and the European projects SHARInG-MeD and SUS-SOIL are organising the:\nSummer School on Agriculture, Forest and Environmental Geodata Statistical Analysis, Modelling and Machine Learning [SAFEST] (second edition)\nVenue and dates: Pisa, Italy, on campus, in Pisa, at Dipartimento di Scienze Veterinarie, viale delle Piagge, 2.\nfrom 9th – 13th June 2025 (5 days, 30 hours)\nDeadline for application: 31 March 2025\nNumber of students: no more than 50 (the 2024 edition had 70 students, thus we decided to reduce the number of students allowed for a better teaching)\nLink for a description and participation: https://www.unipi.it/index.php/agriculture-and-veterinary/item/26793-agriculture-forest-environmental-geodata-statistical-analysis-modelling-machine-learning\nMail for info: sergio.saia@unipi.it ( mailto:sergio.saia@unipi.it )\nTopics covered are:\n\nreference databases on land cover, soil, and meteorological and climate data;\ndata visualization, spatial references and projections, proximal and remote sensed data, terrain analysis;\nmethods for covariate handling, harmonization;\nlinear mixed models for soil and biological data, analyses of unbalanced design or missing data, and spatialization in plot experiments under controlled conditions;\nmodelling procedures: classification and regression trees models (random forest, boosted regression trees, others), artificial neural networks, and convolutional neural networks, etc.\n\n
URL:https://www.iuss.org/events/summer-school-on-agriculture-forest-and-environmental-geodata-statistical-analysis-modelling-and-machine-learning-safest/
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