International Workshop on Multidisciplinary studies for sustainable agriculture

November 20th 2019, Pisa
Monitoring and managing tree crop systems by remote sensing and precision
agriculture techniques
Aula Magna, Department of Agriculture Food and Environment, University of Pisa

Programme

9:00 – Registration

9:30 – Welcome address
Alberto Pardossi
Director of the Department of Agriculture Food and Environment, University of Pisa
Andrea Cavallini
Coordinator of the PhD programme in Agriculture Food and Environment, University of Pisa
Massimo Tagliavini
Chairman of the Italian Society for Horticultural Science (SOI)

9:45 – Contribution of Sentinel 2 data for orchards management in south-eastern France
Dr. Marta Debolini, French National Institute for Agricultural Research

10:10 – Precision olive growing: a modern management for an ancient tree
Dr. Giovanni Caruso, Department of Agriculture Food and Environment, University of Pisa

10:35 – Precise Orchard Management (POM): innovative techniques to take control of fruit production
Dr. Luigi Manfrini, Department of Agricultural and Food Sciences, University of Bologna

11:00 – Break

11:25 – Using the OliveCan process-based model for assisting in site-specific crop management of olive orchards
Dr. Álvaro López Bernal, Department of Agronomy, University of Cordoba, Spain

11:50 – Variable Rate Operation for Orchards
Prof. Manuel Pèrez Ruiz, Department of Aerospace Engineering and Fluid Mechanics, University of Seville

12:15 – Break

14:00 – Remote and proximal sensing technologies in precision viticulture
Dr. Giacomo Palai, Department of Agriculture Food and Environment, University of Pisa

14:15 – Land-cover changes in four Western Mediterranean countries by using data from national censuses of agriculture.
Dr. Maria Rabelo Lanza, Department of Agriculture Food and Environment, University of Pisa

14:30 – Variable rate applications for weed management
Dr. Mino Sportelli, Department of Agriculture Food and Environment, University of Pisa

14:45 – Assessing the performances of remote sensing systems for crop monitoring and yield prediction in grapevine.
Dr. Riccardo Rossi, Department of Agri-Food Production and Environmental Sciences, University of Florence

15:00 – Discussion and Conclusions