Develop an AI-powered and reagent-free optical sensor to continuously monitor nitrogen in agricultural watersheds

The project will develop and validate a reagent-free UV-Vis absorption-based sensor for the direct, real-time quantification of nitrogen in agricultural watersheds. AUG’s machine learning-based multiple regression models will also be developed to process the real-time UV-Vis absorption spectral data and enhance sensor performance suitable for continuous field operation. This project will lead to an innovative AI-powered reagent-free sensor that will advance Canada’s water treatment and monitoring facilities’, research institutions and private sectors in the fields’ capacity in water nutrient analysis.

Faculty Supervisor:

Scott Mundle

Student:

Partner:

AUG Signals Ltd

Discipline:

Physics

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

University of Windsor

Program: