This Learning Object is part of the French programme “Data Manager for agro-environmental projects” within a Master degree and it trains students in multidisciplinary data management for real-world agro-environmental projects
For more information about the programme click here
Module details
At the end of this unit, participants will acquire both theoretical and practical skills in the use of artificial intelligence applied to agro-environmental contexts and precision agriculture. The second half of the unit is dedicated to a micro-assignment conducted in small groups as part of a collaborative Precision Agriculture project. This may involve field data collection followed by the processing of this geolocated data. Students will also attend a professional seminar within the field of digital agriculture.
Proposer: Institut Agro Montpellier
Organization: Institut Agro Montpellier
Duration: 60h
ECTS: 7
Shortcut access code: No
Year of pubblication: 2026
Topics
Tags: machine learning, neural networks, precision agriculture
Subject areas: Communication and Cyber-physical Systems, Data manager
Delivery methods: In Person
Teaching methods: Lectures, Working Group, Testimonial, Project Work, Seminar
Languages: English
Learning objectives
- Discovering the contribution of artificial intelligence tools to agri-environmental project management
- Project on spatialized data for precision agriculture
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Introduction to Machine Learning
Introduction to machine learning, with a particular focus on deep learning. Practical application on a micro-project based on agro-environmental data
Duration: 16hTeacher: B. Fontez, H. Jones, P. VismaraDelivery method: In PersonTeaching method: Lectures, Working Group, Testimonial, Project Work -
Knowledge representation and Big Data
Ontologies, Semantic networks
Duration: 6hTeacher: A. TireauDelivery method: In PersonTeaching method: Lectures, Working Group -
Reasoning under constraints
Introduction to artificial intelligence-based decision support tools for reasoning under constraints, with a particular focus on Constraint Programming. Practical application to a problem of crop allocation in agro-ecology.
Duration: 8hTeacher: P. VismaraDelivery method: In PersonTeaching method: Lectures, Working Group -
Seminar
Seminar on Digital Agriculture organised by the Agrotic chair
Duration: 6hTeacher: B. TisseyreDelivery method: In PersonTeaching method: Seminar -
Project on spatialized data for precision agriculture
Precision agriculture project, organised over 2 weeks, designed to respond to a specific problem, generally involving data collection in the field and processing of the spatial data collected.
Duration: 24hTeacher: G. Brunel, B. TisseyreDelivery method: In PersonTeaching method: Project Work
