The control of pathogen infection in Cannabis sativa

The cannabis boom in Canada is reaching a full swing. At the same time, the research on agricultural and medicinal cannabis is still lagging behind. Cannabis is typically grown at high density in the contained environment. Such conditions lead to high pathogen pressure. Fungal pathogens like those causing powdery mildew, grey and white mold result […]

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Alberta High Resolution Wetland Inventory Methodology Development

This project aims to operationalize innovative methods for developing cost effective wetland inventories across Alberta by use of numerous sources of remote sensing data, namely light detection and ranging (LiDAR), synthetic aperture Radar (SAR), and optical imagery. The project will formalize a mapping specification, develop training and validation datasets (available in-kind from the academic supervisor […]

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Brain-Inspired Artificial Intelligence for Sound-Aware Robotics

The lack of robust sound awareness in robotics and autonomous machines is a crucial limiting factor in their usefulness and adoption. Taking a biologically inspired approach offers novel computational mechanisms to solve a variety of challenges in this field. The primary objective of this proposal is to finalize and evaluate a Bayesian auditory artificial intelligence […]

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Phenotyping and genotyping collection of Cannabis sativa lines

Upcoming legalization of marijuana provides many opportunities for all Canadians. Licensed Producers (LPs) are the main providers of medicinal cannabis to patients and will be the main suppliers for recreational market. The significant disadvantage in the current environment is the limited number of strains available to LPs. Sundial Growers have acquired a collection of Cannabis […]

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