Summer School on Agriculture, Forest and Environmental Geodata Statistical Analysis, Modelling and Machine Learning [SAFEST]

The University of Pisa (Italy) and the European projects SHARInG-MeD and SUS-SOIL are organising the:

Summer School on Agriculture, Forest and Environmental Geodata Statistical Analysis, Modelling and Machine Learning [SAFEST] (second edition)

Venue and dates: Pisa, Italy, on campus, in Pisa, at Dipartimento di Scienze Veterinarie, viale delle Piagge, 2.

from 9th – 13th June 2025 (5 days, 30 hours)

Deadline for application: 31 March 2025

Number 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)

Link 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

Mail for info: sergio.saia@unipi.it

Topics covered are:

• reference databases on land cover, soil, and meteorological and climate data;
• data visualization, spatial references and projections, proximal and remote sensed data, terrain analysis;
• methods for covariate handling, harmonization;
• linear mixed models for soil and biological data, analyses of unbalanced design or missing data, and spatialization in plot experiments under controlled conditions;
• modelling procedures: classification and regression trees models (random forest, boosted regression trees, others), artificial neural networks, and convolutional neural networks, etc.