Advances in Data Science and AI: Edward Salakpi
|Dates:||15 November 2022|
|Times:||14:00 - 15:00|
|What is it:||Seminar|
|Organiser:||Institute for Data Science and AI|
|Who is it for:||University staff, External researchers, Adults, Alumni, Current University students|
The Advances in Data Science and AI seminar series showcases innovative research in data science and AI from across the world.
This event is hybrid.
Title: Forecasting vegetation condition (drought) in pastoral communities for disaster prevention
Abstract: Drought events are slow occurring natural hazards that affect the livelihood of approximately 55 million people worldwide, with a large proportion from Africa. Key amongst these drought events is Agricultural drought which is caused by deficit in water (soil moisture) available to vegetation in grasslands where both livestock and wildlife graze. This category of drought also and affects field crops, agriculture production, food security and the economy of the affected country or region. Addressing these challenges requires cost-effective approaches that combine easy to access satellite Earth observation data with machine learning methods to develop early warning system for early action. This presentation will give an overview of my PhD research which focused on using various Bayesian probabilistic models to develop agricultural drought forecast models with satellite-based Vegetation Condition Index (VCI) and other agricultural drought indicators like precipitation and soil moisture.
Bio: Edward Salakpi is an Earth Observations/Remote Sensing scientist with deep interest in Machine learning and Big data technologies. Background in Agricultural Science and Biotechnology.
Please book via ADSAI Eventbrite link under More Information.
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