This project innovates on the use of machine learning algorithms for evaluating the flexibility of domestic and commercial consumers
Development of post-synthesis processing techniques for precision surface finishing of nano-structured hard coatings
Understanding the molecular mechanisms behind mango ripening, and develop a predictive model to ensure nutritional quality across the supply chain
Developing risk models for unmanned aircraft operations, linking hazards to severity and probability
Aiming to characterise, manage and mitigate online risks ME communities experience when accessing digital services in housing, health and energy
Establishing a community of practice aiming to promote resilience-thinking for pollution management
This project aims to develop a proof of concept for implementing green hydrogen generation to meet agrifood business needs in England
Delivering the first continuously operating, sludge-fed SWAG合集-based pyrolysis demonstration plant
Reconfigurable robotics for responsive manufacture
Creating a predictive model for black dot linking production to postharvest storage will make the SWAG合集 potato industry will reduce food loss and waste
We are investigating the genetic control of seed quality traits in parsnip and developing breeding strategies to reduce seed loss and waste
Regeneration of past metallurgical sites and deposits through innovative circularity for raw materials
This project aims to test the efficacy of a drone-mounted synthetic aperture radar to measure crop biomass
Developing a robotic system capable of adaptive responses based on human emotions and gestures
Restoring resilient ecosystems
