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Crop yields must increase dramatically on existing farmland to feed up to 10 billion people by 2050. Precision agriculture aims to optimize crop production and minimize\u003Cbr>environmental impact by using technologies like sensors, robotics, and data analytics. In this framework, emerging areas are:\u003C/p>\u003Cul>\u003Cli style=\"text-align:justify;\">Developments of lab-on-a-chip devices for quick and accurate plant pathogen detection. Indeed, the deterioration of plant products, which is estimated to cause a loss of between 10 and 30 percent overall, is one of the main constraints on food resources. Since one of the major reasons for this deterioration is the presence of pathogens and their associated toxic metabolites and parasites, food safety is an issue to be considered.\u003C/li>\u003Cli style=\"text-align:justify;\">Reduction of waste and environmental contamination. Indeed, agriculture must reduce its massive environmental impacts which include 20% of anthropogenic greenhouse gas emissions and 70% of freshwater withdrawals. Precision agriculture addresses these issues by using data collected from specialized sensors to tailor the application of water, fertilizers, and pesticides to specific localized needs. Therefore, in contrast to uniform treatment of large areas, this targeted approach allows more efficient resource application.\u003C/li>\u003Cli style=\"text-align:justify;\">Development of wireless sensor networks for efficient data processing and transmission. These networks provide detailed spatiotemporal data at high resolution, facilitating a deeper understanding of the agricultural landscape. 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The present research interests are focused on the development of thin film photodetector and lab-on-chip systems for virus detection in agriculture and mycotoxin detection in food.\u003C/p>","2025-01-27T23:55:16.287Z","68",[],"-38",{"id":327,"contact":750},{"id":721,"name":751,"committee":16,"position":16,"affiliation":16,"email":16,"biography":752,"createdAt":753,"updatedAt":753,"url_path_id":754,"contactPhoto":16,"socialLinks":755,"url_path":756},"Alessandro Sanginario","\u003Cp style=\"text-align:justify;\">Alessandro Sanginario (Member, IEEE) received his degree in Biomedical Engineering and a Ph.D. in Physics from Politecnico di Torino, Italy, in 2006 and 2010, respectively. He was a Visiting Scholar at the University of South-Eastern Norway in 2009. After his Ph.D., he held postdoctoral positions at the Chilab Laboratory and the IIT @ PoliTo Center for Space Human Robotics until 2017. Currently, he is a researcher at the eLIONS Laboratory, Department of Electronics and Telecommunications, Politecnico di Torino.\u003Cbr>In 2022, he completed an executive master’s in Project Management and earned the \"Certified Project Management Associate - IPMA Level D\" qualification. He teaches “Design of Microsystems” for Electronic Engineering and Nanotechnologies for ICT. Co-founder of a startup in the AgriFood sector, his research focuses on MEMS, advanced sensors, and micro- and nano-system integration for biomedical and AgriFood applications. 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She was awarded her Ph.D. in Chemistry in December 2009, with research centered on the immobilization of organic, nanometallic, and enzymatic catalysts in microfluidic systems.\u003C/p>\u003Cp style=\"text-align:justify;\">From December 2010 to November 2019, Francesca served as a researcher at Sapienza University of Rome, specializing in the development of Lab-on-Chip systems for healthcare and agrifood. Since 2019, she has been a researcher at the Research Centre for Plant Protection and Certification (CREA-DC) in Rome, where her work primarily involves developing diagnostic protocols for plant pathogens (bacteria, fungi, viruses) and their harmful metabolic products in food, as well as parasites, utilizing Lab-on-Chip technologies. Additionally, Francesca teaches courses on Macromolecular Structures and Environmental Sensors at Sapienza University of Rome. 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