On Agriculture, Forest and Environmental Geodata Statistical Analysis, Modelling and Machine Learning [SAFEST], Certificate | University of Pisa | Pisa, Italy
5 days
Duration
2400 EUR/year
Free
Unknown
Tuition fee
Unknown
Unknown
Apply date
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Start date

About

This On Agriculture, Forest and Environmental Geodata Statistical Analysis, Modelling and Machine Learning [SAFEST] provides theoretical and practical teaching on statistical methods and tools for geodata handling and analysis, with special emphasis to soil traits, crop yield or plant biomass in agricultural, forest and other land uses under variable management and environmental conditions.

Visit the Visit programme website for more information

Overview

The On Agriculture, Forest and Environmental Geodata Statistical Analysis, Modelling and Machine Learning [SAFEST] will provide theoretical and practical teaching on the statistical methods and tools for geodata handling and analysis, with special emphasis to soil traits, crop yield or plant biomass in the agricultural, forest and other land uses under variable management and environmental conditions. Methods provided will be tailored to a wide range of scales, from plot to landscape to regional scales.

Methods provided will be tailored to a wide range of scales, from plot to landscape to regional scales.

Topics in the school include:

  • advanced literature search and meta-analysis;
  • use of reference databases on land cover, soil traits, and meteorological and climate data;
  • data visualization, spatial references and projections, proximal and remote sensed data, terrain analysis;
  • methods for covariate identification, acquisition, and selection, harmonization, and inclusion in modelling procedures;
  • linear mixed models for statistical analysis of soil and biological data, methods to include spatialization and soil depth as variables, methods to study unbalanced data or including variables with missing data, regression models;
  • overview on models and some case studies: classification and regression trees models (random forest, boosted regression trees, others), artificial neural networks, and convolutional neural networks, etc..

The school will include theoretical lessons in the morning and practical lessons in the afternoon.

Participants to SAFEST will be able to deal with geodata and their handling and analysis in a wealth of areas, including agriculture, forest, other land uses, the study of soil biodiversity, soil science, farming systems, and other environmental areas.

The Summer School received the support of SHARInG-MeD project (a PRIMA 2022 action topic 1.2.1 under the grant agreement 2211).

Programme Structure

  • Aim of the school is stimulating the integration among different data handling strategies and modelling procedures of geodata, with special emphasis to plant biomass and soil traits, and to support the modelling activities in various fields of expertise, including agriculture and forest management, soil management, soil biodiversity, and their potential relationship with economic, environmental indicator or social data.

Audience

  • The course is primarily aimed to Master of science students, PhD students, young researchers, master students, professionals in the topics of the school.

Key information

Duration

  • Full-time
    • 5 days

Start dates & application deadlines

Language

English

Credits

3 ECTS

Delivered

On Campus

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Student insurance

Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items, so make sure your student insurance ticks all the following:

  • Additional medical costs (i.e. dental)
  • Repatriation, if something happens to you or your family
  • Liability
  • Home contents and baggage
  • Accidents
  • Legal aid

We partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.

Get your student insurance now

Starting from €0.53/day, free cancellation any time.

Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at University of Pisa and/or in Italy, please visit Student Insurance Portal.

Other requirements

General requirements

  • Bachelor's degree

  • Identity Document (*PASSPORT in case you are a foreign student*)
  • Enrolment Form
  • Curriculum Vitae
  • To obtain additional information about the program, we kindly suggest that you visit the programme website, where you can find further details and relevant resources.

Tuition Fee

To always see correct tuition fees
  • International

    2400 EUR/year
    Tuition Fee
    Based on the tuition of 2400 EUR per year during 5 days.
  • EU/EEA

    Free
    Tuition Fee
    Based on the tuition of 0 EUR per year during 5 days.

Living costs for Pisa

750 - 1100 EUR /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

Please write to the coordinator for further details

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