About the Lab
The Digital Agronomy and Weeds Lab (DAWL) at the University of Manitoba focuses on advancing sustainable crop production through precision agriculture and data-driven weed management. Our research integrates remote sensing, UAV-based technologies, and field experimentation to better understand crop–weed interactions and improve agricultural decision-making.
Dr. Dilshan Benarangama
Principle Investigator
Dr. Benaragama’s research focuses on weed ecology, integrated management, and the application of remote sensing and precision agriculture tools to improve crop productivity and decision-making.
What we Do
Precision Agriculture
Application of UAV-based remote sensing and advanced technologies for efficient crop monitoring, precision spraying, and improved field management.
Weed Science
Study of weed ecology and development of integrated management strategies to enhance crop productivity and sustainable agricultural systems.
Digital Agriculture
Use of data-driven tools, remote sensing, and machine learning to support decision-making and optimize modern farming practices.
Our Research Areas
Our research interests cover a range of areas including:
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Crop yield prediction using remote sensing
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Multi-scale data analysis for plant phenotyping
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Monitoring landscape dynamics across spatial and temporal scales
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Remote sensing of weed–crop interactions and decision support tools
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Assessing crop–weed competition using advanced sensing approaches
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Impacts of IWM on weed phenology and persistence
Latest Events
Our Team
Bio: Dr. Hussain is a Postdoctoral Fellow at the University of Manitoba focusing on precision agriculture, UAV-based technologies, and data-driven weed management.
Expertise: UAV spraying • Precision agriculture • Remote sensing • Weed management • Machine learning
Bio: Dr. Kenneth is a Postdoctoral Fellow at the University of Manitoba focusing on remote sensing, plant physiology, and data-driven approaches for precision agriculture and crop productivity.
Expertise: Remote sensing • Plant physiology • Crop phenotyping • Machine learning • Precision agriculture
Bio: Mike is a Research Technician at the University of Manitoba with expertise in field experimentation, data collection, and agricultural research operations.
Expertise: Field trials • Data collection • Crop research • Experimental design • Agronomy