advanced AI modelling, multimodal data integration, climate-focused agricultural intelligence, explainable AI (XAI), semantic ontologies, and human-centred design
Topic 2 - Data-based solutions for sustainable agriculture
We would like to participate with our expertise as a research team specialising in advanced AI modelling, multimodal data integration, climate-focused agricultural intelligence, explainable AI (XAI), semantic ontologies, and human-centred design. Hager Saleh works at the University of Galway, our team also brings strong experience in time-series forecasting, computer vision, and data-driven modelling applied to agricultural systems. We are confident that this expertise will add value to AgData’s mission of developing data-enabled, sustainable agriculture solutions.
The University of Galway is a leading research-intensive institution in Ireland with a strong track record in interdisciplinary innovation across science, engineering, health, and environmental domains. Our research group specialises in advanced artificial intelligence modelling, multimodal data integration, climate-focused agricultural analytics, and decision-support systems. The team brings expertise in machine learning, explainable AI (XAI), semantic ontologies, and human-centred design, with experience applying these methodologies to real-world agricultural, environmental, and clinical datasets. Through collaborative, impact-driven research, the organisation aims to develop data-enabled solutions that support sustainability, digital transformation, and evidence-based policy across sectors, including agriculture and climate resilience