IoT in digital agriculture | Nathalie Mitton
Dec 07, 2023 | 4:00 PM CET
Digital technologies are spreading in agriculture as they do in other economic sectors. One of the emerging technologies in agriculture is IoT and among it wireless sensors and drones. Sensors are for instance deployed to monitor the usage of intrants in different fields based on the needs of the crop. But this goes with different challenges. During this talk, we will see what are these challenges and how they could be tackled.
Nathalie Mitton received the MSc and PhD. degrees in Computer Science from INSA Lyon in 2003 and 2006 respectively. She received her Habilitation à diriger des recherches (HDR) in 2011 from Université Lille 1. She is currently an Inria full researcher since 2006 and from 2012, she is the scientific head of the Inria FUN team. Her research interests focus on self-organization from PHY to routing for wireless constrained dynamic and mobile networks. She has been nominated as one of the 10 women stars in computer Science in 2020 by the IEEE Communication Society. She has published her research in more than 40 international revues and more than 120 international conferences. She coordinates the Horizon Europe SLICES-PP project, participates in different Horizon Europe projects (CyberSANE, NEPHELE) and in several program and organization committees such as Infocom (since 2019), PerCom (since 2018), DCOSS (since 2018). She also supervises several PhD students and engineers.
Learning IoT - Roadmap and Challenges | Fredrik Ahlgren
Feb 01, 2024 | 4:00 PM CET
Linnaeus University's four-year Applied IoT course serves as a case study for this seminar, focusing on adaptability in hardware selection, platform integration, and community engagement in an online learning environment. Transitioning from initial Pycom devices to Heltec and most recently to Raspberry Pi Pico, the course has navigated the evolving IoT landscape, posing challenges and insights for curriculum and lab design. While Canvas provides administrative structure, Discord acts as the linchpin for real-time student interaction. Despite its fully remote format, the course sustains hands-on lab sessions and incorporates industry talks for real-world context. The seminar aims to discuss the inherent challenges of maintaining high engagement and educational consistency in large-scale, decentralized, online settings
Fredrik Ahlgren is a Senior lecturer in Computer Science and Marine Engineering and he started his career in the Royal Swedish Navy in 2001, and have sailed as a Marine Engineering officer on fast attack crafts, corvettes and submarines. Fredrik has always had a very keen interest in computers and new technology, and after and during the PhD started the transition from mechanical/marine engineering to computer science, with the focus on applying machine learning to solve problems. In 2020 I was living in Vancouver and teaching marine engineering, IoT and data analysis for M.Sc students at University of British Columbia, NAME (Naval Architecture and Marine Engineering). Fredrik has previously been teaching in the Marine Engineering programme with focus on pumping technology course, hydromechanics and machinery systems. Previous research comprises of energy efficiency in shipping from the data perspective, using machine learning (ML) methods for energy predictions. The research is now focused on applied IoT. He is now the lead and project manager of the IoT-lab at Linnaeus University and has also been the course administrator for the summer course Applied Internet of Things both the summer of 2020, 2021 and 2022, comprising of hundreds of students from all over the world. Fredrik also teach M.Sc courses in Applied IoT, as well as introductory programming in Python, machine learning (web intelligence). Fredrik is living by the motto that it should be fun - and what he does not know is compensated by enthusiasm for the subject.