Transforming Research and Action for Contaminant Exposure with Artificial Intelligence (TRACE-AI)
Designed to empower agricultural extension agents, researchers, and farmers by providing real-time, actionable insights and predictive analytics on soil contaminants.
About Trace-AI
The research group from University of Salford is working on developing an application (advisory tool) to provide an innovative and practical solution for agriculture advisors, researchers, scientists, farmers, and environmental agencies to assess and address the potential contamination in soils and crops.
By integrating advanced predictive modelling techniques, and natural language processing the group aims to facilitate informed decision-making regarding soil management practices and contamination mitigation strategies.
The Challenge
Soil pollution is a major threat to soil health, undermining its ability to support ecosystems, produce safe and nutritious food, and ensure global food security. Beyond soil health, it impacts human and ecosystem well-being through contaminant transfer, causing economic losses.
Our tool bridges the gap between scientific knowledge and practical needs, offering early predictions, streamlined answers, and summaries of findings. It delivers site-specific insights on contamination sources, mechanisms, and mitigation strategies in any language, along with tailored agronomic recommendations for farmers.
Our Solution
For extension agents and specialists, our tool simplifies soil contamination diagnostics, provides up-to-date agronomic guidance, and enhances efficiency by reducing time spent on research. It empowers them to serve more farmers with accurate, science-based advice, building trust and credibility.
For researchers and scientists, the tool accelerates data integration and predictive modeling, streamlining workflows and supporting groundbreaking research through interdisciplinary collaboration and faster validation of solutions.
For farmers, it delivers personalised, science-backed recommendations to boost yields, reduce fertiliser costs, and improve soil health. Real-time alerts help minimise crop loss risks, ensuring safer, more sustainable farming practices.
Watch Our Video!
Meet The Team
Dr. Jajati Mandal
Lead Researcher
Prof. Mike Wood
Scientific Advisor
Paul Cihlar
Head of Commercialisation
Our Supporters
