Prof. Omer Rana
Professor of Performance Engineering in the School of Computer Science & Informatics at Cardiff University, UK
More details can be found at:
https://profiles.cardiff.ac.uk/staff/ranaof
KeyNote: Edge Computing and Rural AI
Agriculture worldwide is increasingly practised under uncertainty — erratic rainfall, intensifying heat and water scarcity — much of it on smallholdings in remote, low-power, low-connectivity settings where reliable data network and Cloud computing hosted services access cannot be assumed. This talk argues that resilience in such environments depends on a combination of technology and people, built around an IoT–edge–cloud continuum (often referred to as the "computing continuum") in which as much processing as possible happens on the farm itself.
Drawing on our work in Rural AI, this talk will discuss how inexpensive field-side units (single-board computers, low-power sensor nodes and cameras) capture soil, microclimate, weather and images (hyperspectral & thermal cameras), and run analytics locally so that actionable results reach the farmer without continuous connectivity. Using a cross-farm weed-detection example, we show how federated learning over a serverless computing continuum offers a valuable middle ground between cloud-only and edge-only approaches: each farm builds a local model, shares only the model rather than raw data, and contributes to an aggregated model that outperforms any single site while preserving data sovereignty and tolerating intermittent participation. Understanding how federated learning approaches can be utilised in such resource constrained environments also provides opportunities for use in other areas.
We also describe ForestPulse, a configurable "forest health" composite-index platform that fuses heterogeneous datasets into an interpretable, site-specific health score for a forest area, with per-indicator visualisations. Its built-in rated feedback makes it a natural mechanism for engaging farmers and field workers — addressing the reluctance to share data and the governance and adoption challenges that ultimately determine whether such decision support tools succeed. The ForestPulse project involves collaboration with the Danau Girang Field Centre (DGFC) in Malaysia.
More details about the RuralAI project:
https://sites.google.com/view/rural-ai/home?pli=1
Danau Girang Field Centre:
https://www.cardiff.ac.uk/danau-girang-field-centre
and
https://www.danaugirang.com.my/
ForestPulse: https://iotgarage.net/projects/ForestHealthIndex
UK National Edge AI Hub:
https://edgeaihub.co.uk/