University of Torino – DISAFA Department

Organization Type: University

Country: Italy

Links: https://www.disafa.unito.it

Organization Information

The university of Turin is a very old university in Italy. It has about 400 years of history, two nobel prizes and two presidents of the republic of Italy. It has about 67000 students and 13 Departments.
The University of Turin – Department of Agricultural, Forestry and Food Science (DISAFA) is the Department that manage the school of Agriculture and Agrifood sciences. 272 people work in the department that is among the top 2 agricultural engineering research centers in Italy.

The department hold the best wine making school in Italy, with students coming from all over Europe.

The logistics and sustainability group focus on sustainable agriculture, modelling and simulation of agricultural processes, logistics and ICT application for the exploitation of agrifood and biomass value chains. We investigate with simulation models ways to improve machine, human and to optimize the robotic work. To do so we organize many field trials to investigate equipment performance. In the department both the vine cultivation topics and wine making technology are very much represented with more than 20 people working in vine cultivation and wine making technology.

DISAFA has important scientific and technological achievements in many agriculture areas including: Energy, Environment, Mechatronics, Information & Communication, Transportation, Smart farming, as well as several cross-disciplinary scientific areas. Mechatronic works is related to greenhouse robots, harvest robot for open space vegetables.

DISAFA has a turnover of 24 M€ /year coming mainly from research funding at national and European level and has a good record of scientific publications, with more than 200 papers with impact factor per year.

Project Coordinator
Prof. Zoe Doulgeri
Automation & Robotics Lab
Aristotle University of Thessaloniki
Department of Electrical & Computer Engineering
Thessaloniki 54124, Greece

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871704.

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