RF/Microwave Smart Sensors for the Next Generation of Real-time Detection and Control
RF/microwave Sensors for Real-Time Wireless Fertilization Monitoring in Agriculture Sector
RF/microwave Sensors for Real-Time Wireless Fertilization Monitoring in Agriculture Sector
My research program studies smart sensor development for real-time detection, intelligent robust monitoring, and selective sensing. We seek to advance the use of applied electromagnetics (EM), circuitry development, system integration, and data analysis to develop portable, easy-to-use technologies to facilitate real-time data collection and provide reliable measurement information. Inherent to reliable measurement is the ability to perform in a harsh environment (i.e. high temperature and pressure), the capability of detection and monitoring in an out-of-access environment, and distinction of different components during detection and monitoring. These components for reliable measurement require the highly sensitive and selective sensing devices with the potential of distant and wireless detection. We are working on advanced more sophisticated structures for current and near future IoT sensory demands with the potential to integrate into inaccessible and harsh environments.
Funded by NSERC Discovery Grant 2022-2027
RF/microwave Sensors for Real-Time Wireless Fertilization Monitoring in Agriculture Sector
RF/microwave Sensors for Real-Time Wireless Fertilization Monitoring in Agriculture Sector
RF/microwave Sensors for Real-Time Wireless Fertilization Monitoring in Agriculture Sector
In collaboration with Livestock Water Recycling, we aim to create an innovative nutrient monitoring breakthrough. We are developing a low-cost, real-time wireless sensor using microwave resonator-based technology that could detect Nitrogen (N), Phosphorus (P), and Potassium (K) in various samples (water, soil, manure/fertilizer). The main objective is to design advanced sensors for wireless and real-time monitoring with the ability to integrate with artificial intelligence (AI) and advanced material approaches for sustainable and robust performance monitoring demands in precision agriculture and reduce relying on human involvement in this sector.
Funded by Alberta Innovates Agri-Food and Bio-Industrial Innovation Program and IWR Technologies Ltd 2024, 2024-2027
Applied Electromagnetics
This is the big umbrella that includes different aspects of our research, from developing low-cost conformal sensors to designing communication systems.
