Agricultural Applications

Description

Media

Posters

Projects

GRANTS AND EXTERNAL FUNDING

  • Machine Learning Diagnostic Soil (MaLDiveS). 2018-2020 HES-SO funding.
  • FishGuard

Student Projects Supervised

Master Theses and Bachelor projects

    • Improving the productivity of tropical crops by means of machine learning: the case of maize in Mexico. Michael Caraccio , HES-SO, 2018, In collaboration with CIAT – International Center for Tropical Agriculture, Cali, Colombia
    • Analyse des relations entre les conditions de culture et la qualité des cafés du département de Risaralda en Colombie (Analysis of the relationship between culture conditions and coffee quality in the Risaralda department in Colombia), Thibault Schowing, HEIG-VD, 2017, In collaboration with CIAT – International Center for Tropical Agriculture, Cali, Colombia.
    • Producing more and better tropical crops by means of bio-inspired models. Alexandre Grillon. HEIG-VD, 2014. In collaboration with CIAT – International Center for Tropical Agriculture, Cali, Colombia.
    • 100% Colombian Coffee: Analyse de données de résonance magnétique nucléaire pour détermination d’origine de café colombien (100% Colombian Coffee: Analysis of nuclear magnetic resonance data for origin control of Colombian coffee), Yannick Müller, HEIG-VD, 2013. In collaboration with University del Valle, Cali, Colombia.
    • Gestion et optimisation des plans de rotation pour la production de légumes (System for managing and optimising vegetable crop rotation plans), Thomas Jordan, HES-SO, 2012