National Research Council - Institute of BioEconomy, Italy
Digital technologies are valuable tools that may help farmers improve efficiency and make better decisions. The remote sensing sector and Unmanned Aerial Vehicles (UAV) has never been more capable of helping deliver on the promises of digital agriculture, thanks to recent developments in machine learning and artificial intelligence. But there are some problems and limitations that need to be fixed before these technologies can be used effectively and agriculture is being digitally transformed on a large scale. The aim of this tutorial is to present a framework of practical applications of such innovative solutions for extending the use of UAV in agriculture.
Senior Researcher at the National Research Council (CNR-ITALY) in Florence at the Institute of BioEconomy (IBE). Visiting Associate Professor at the Geosystems Research Institute (GRI) at Mississippi State University (MSU-USA). M.S. degree in Natural Sciences at the University of Florence (Italy), Department of Earth Sciences. PhD in Agriculture, Forest and Food Science, Doctoral School of Sciences and Innovative Technologies at the University of Turin, in 2014. His research interests are in remote sensing of agroecosystems, precision agriculture and forestry, unmanned aerial vehicles, multi-hyperspectral and thermal imaging, crop modeling, data fusion, machine learning and geostatistics. He is/was Principal Investigator (PI) in more than ten competitive research projects. Among his research projects, he serves as PI for a EU funded project from PRIMA-MED titled "DATI" which explores how to develop, implement and enhance irrigation efficiency using digital tools to create practical solution for small-scale farmers. Authored more than 80 peer-reviewed international journal articles.