
Measurement technologies and artificial intelligence are increasingly reshaping how we monitor animals and manage their interaction with human activities. In this webinar, we will explore two complementary perspectives. First, Prof. Thiago Meireles Paixão will present label-efficient computer vision methods for precision pig farming, showing how synthetic data, foundation models, and active learning can reduce the annotation effort needed for automated animal monitoring. Then, Dr. Leonardo Martin will introduce the development and field testing of a non-lethal deterrence system aimed at mitigating wolf–livestock conflict.
Date: November 5th, 2026
Time: 2:00 pm CET | 8:00 am EST
Zoom ID: 865 1951 6624
Webinar Secretariat: journal.webinar@mdpi.com

Department of Information Engineering, University of Padova, Padua, Italy;Giacomo Peruzzi received the B.Sc. degree in information engineering, the M.Sc. degree in computer and automation engineering, and the Ph.D. degree in information engineering and science from the University of Siena, Siena, Italy, in 2016, 2019, and 2023, respectively. He is currently a Research Fellow with the Department of Information Engineering, University of Padova, Padua, Italy. His current research interests include fields of the Internet of Things (IoT) and distributed measurement systems. In particular, he deals with wireless sensor networks (WSNs) for monitoring systems that are enabled by low-power wide-area network (LPWAN) technologies, as well as virtual and augmented sensing techniques, and embedded machine learning (ML) for measurement infrastructures. He is currently a Section Board Member of MDPI Sensors, and he was recipient of the awards MDPI Sensors Outstanding Reviewer for 2024, and MDPI Sensors Best Paper Award for 2025.
Instituto Federal de Educação, Ciência e Tecnologia do Espírito Santo (IFES), Brazil;Thiago M. Paixão is an Adjunct Professor at the Federal Institute of Espírito Santo (Ifes), Brazil, where he is a permanent faculty member of the Professional Master's Program in Applied Computing and teaches in the Bachelor's Program in Information Systems. He holds a B.Sc. in Computer Science from the Federal University of Minas Gerais (2006), an M.Sc. in Computer Science from the University of São Paulo (2010), and a Ph.D. in Computer Science from the Federal University of Espírito Santo. During his doctorate, he was a visiting researcher at the École de Technologie Supérieure in Montreal, Canada, under a CAPES-funded doctoral internship. He is affiliated with the research groups LAICSI (Laboratory of Computational Intelligence and Information Systems), from Ifes, and Inova e-Pq, from the University of São Paulo. His research interests span several AI topics, with a primary focus on computer vision and its applications. Since 2024, he has also worked on computer vision for precision livestock farming, developing label-efficient methods for automated animal monitoring, in collaboration with Prof. Isabella Condotta, a researcher at the University of Illinois Urbana-Champaign and the AIFARMS project.
Department of Information Engineering, University of Padova, Padua, Italy;Leonardo Martin received his B.Sc. in Electronic Engineering in 2022 and his M.Sc. in Electronic Engineering in 2025, both from the University of Padua, Italy, where he is currently a Ph.D. student in Information Engineering with the Electronic Instrumentation and Measurements Group. His research focuses on non-lethal deterrence systems for mitigating wolf–livestock conflict. He also works on measurement and monitoring systems for wildlife management, particularly low-power distributed sensing architectures.
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Speaker/Presentation |
Time in CET |
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Dr. Giacomo Peruzzi (Chair) Chair Introduction |
14:00 – 14:10 |
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Prof. Thiago Meireles Paixão (Speaker 1) Label-Efficient Computer Vision in Precision Pig Farming: Synthetic Data, Foundation Models, and Perspectives |
14:10 – 14:30 |
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Q&A |
14:30-14:40 |
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Dr. Leonardo Martin (Speaker 2) Development and Field Testing of a Non-Lethal Deterrence System for Wolf–Livestock Conflict Mitigation |
14:40 – 15:00 |
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Q&A |
15:00 – 15:10 |
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Closing of Webinar Dr. Giacomo Peruzzi (Chair) |
15:10 – 15:15 |