Monday 14 July 2025 | 13:00 – 14:00 BST
The Advanced Plant Growth Centre (APGC) is excited to announce the next seminar in its 2025 series, presented by Prof. Liangxiu Han Manchester Metropolitan University
Summary
The convergence of big data and artificial intelligence (AI) in agriculture holds significant promise for addressing global food security challenges. These transformative technologies offer the means to optimize agricultural practices, boost productivity, and ensure a sustainable food supply. By harnessing the power of big data and AI, farmers gain the capability to make data-driven decisions pertaining to resource allocation, crop management, and yield optimization. This data-driven, AI enabled approach fosters efficient resource utilisation, minimises waste, and maximises agricultural output, thereby meeting the increasing global demand for food.
This presentation highlights our latest innovations in scalable deep learning and AI for precision agriculture, with a focus on enhancing food security and sustainability. Drawing on our extensive expertise in big data and AI, we aim to deliver impactful, real-world solutions to some of agriculture’s most urgent challenges.
About the Speaker
Prof. Liangxiu Han has a PhD in Computer Science from Fudan University, Shanghai, P.R. China (2002). Prof. Han is currently a full Professor of Computer Science at the Department of Computing and Mathematics, Faculty of Science and Engineering, Manchester Metropolitan University. Prof. Han is Faculty Lead for AI, Digital and Cyber Physical Systems and Deputy Director of ManMet Crime and Well-Being Big Data Centre. Prof. Han’s research areas mainly lie in the development of novel big data analytics/Machine Learning/AI, and development of novel intelligent architectures that facilitates big data analytics (e.g., parallel and distributed computing, Cloud/Service-oriented computing/data intensive computing) as well as applications in different domains (e.g. Precision Agriculture, Health, Smart Cities, Cyber Security, Energy, etc.)
As a Principal Investigator (PI) or Co-PI, Prof. Han has a proven track record of successfully leading multi-million-pound projects on both national and international scales (supported by diverse funding sources: UKRI, GCRF/Newton, EU, Industry, and Charity) and has extensive research and practical experiences in developing intelligent data driven AI solutions for various application domains using various large datasets (e.g. images, numerical values, sensors, geo-spatial data, web pages/texts, videos).
Prof. Han has served as an associate editor/a guest editor for a number of reputable international journals and a chair (or Co-Chair) for organisation of a number of international conferences/workshops in the field. She has been invited to give a number of keynotes and talks on different occasions (including international conferences, national and international institutions/organisations).
Prof. Han is a member of the EPSRC Peer Review College and has sat on various panels including those of EPSRC, BBSRC, Innovate UK, and the British Council. Prof. Han also serves as an independent expert for the European Commission, supporting proposal evaluations and mid-term project reviews.
Website: http://www2.docm.mmu.ac.uk/STAFF/L.Han/