Using quantitative methods to assess how dairy farmer stress and occupational health (mental and physical) are related to farm management, barn design, automation, and animal welfare

In a world where animal health and welfare are receiving increasing attention, it is crucial that we understand and support livestock farmers who are under an incredible amount of stress. This research is designed to start a supportive discussion and to collect information on the topic of farmer mental health in the beef and dairy […]

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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 […]

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Development of Mass Spectrometry Methods for Global Tissue Metabolome Analysis

Metabolomics is a rapidly growing field involved in detecting and characterizing all the metabolites present in a biological system such as blood, urine, cells and tissues. Metabolomics has been increasingly used in many different areas of applications, including the discovery of metabolite biomarkers for early diagnosis or prognosis of diseases, holistic study of biological systems […]

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Small Hydro and Pumped Energy Storage – IRRICAN Power

There is a network of reservoirs and canals that are used to irrigate farmland in Southern Alberta. They are already used for some hydropower generation and my research will estimate the run-of-river power generation potential at three newly identified sites in the vicinity of the Chin Reservoir in Southern Alberta. Furthermore, two of these sites […]

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