CALENDAR

Smart Sensing and AI for Precision Irrigation: From IoT Field Data to Explainable Soil Moisture Prediction

Classroom 7

Prof. Alahmad Tarek Dep. of Bioengineering and Precision Technology, University of Győr (Hungary) Organizer: Prof. W. Zegada-Lizarazu

Camelina for translational plant biology and sustainable agriculture

Classroom 7

Prof. Chaofu Lu, Montana State University Organizer: Prof. W. Zegada-Lizarazu

An Integrated Perspective on Agriculture and Sustainability

Classroom 14

delivered by Prof. Birger Svihusn and organized by Prof. M. Petracci. Highly reccomended for all Research Topics

The ecological impacts of industrial agriculture, the socio-economical impacts of industrial agriculture, opportunities and solutions from agroecology, agroecological conversion of farming systems and the assessment of sustainability and resiliency of agroecosystems

Prof. Miguel Altieri, Professor of Agroecology at the University of California, Berkeley. Organized by Prof. L. Negri

Agroecology and the protection of public and private landscapes through a different model of agriculture and livestock farming: FIELD LESSON

Montesole (Bologna province), in the municipality of Marzabotto

Prof. Miguel Altieri, Professor of Agroecology at the University of California, Berkeley. Organized by Prof. L. Negri

The scientific basis of agroecology and the role of biodiversity in agroecosystems, urban agroecology, applications of agroecology to rural development in Latin America

Prof. Miguel Altieri, Professor of Agroecology at the University of California, Berkeley. Organized by Prof. L. Negri

Advanced regression methods - Lesson 1

Aula Magna

Prof. A. Samoggia. Compulsory for all

Set-up a research protocol, writing and presenting a paper in economical sciences- Lesson1

Seminar Room, viale G. Fanin 50, 5th floor

Prof. L. Mulazzani. Compulsory for research topics 2 and 4

Set-up a research protocol, writing and presenting a paper in economical sciences- Lesson 2

Classroom 11, viale G. Fanin 42

Prof. L. Mulazzani. Compulsory for research topics 2 and 4

Advanced regression methods - Lesson 2

Classroom 14

Prof. A. Samoggia. Compulsory for all

Advanced regression methods - Lesson 3

Informatic classroom, viale Viale Fanin, 46- 1st floor

Prof. A. Samoggia. Compulsory for all