This proposed project will be to formulate a comprehensive management plan for the Redberry Lake Biosphere Region (RLBR). The management plan needs to address all issues of relevance for the RLBR. The following issues will likely form part of management plans: biodiversity and ecosystem services and their conservation and use, sustainable land and resource use, […]

This research project will examine fruit tree health in the City of Toronto. This will be done by conducting a health assessment of Not Far From The Tree’s fruit trees and will examine if there is any variance between species or neighbourhoods. Additionally, since NFFTT’s trees are located on privately-owned land, this project will examine […]

This project will support Not Far From The Tree, a nonprofit organization which coordinates volunteer picks of fruit trees on private property in Toronto’s downtown core. The intern will work on database management and spatial visualization of tree health, type, age, and other details across Not Far From The Tree’s working area. The intern will […]

GNP Ventures Inc. is a Newfoundland-based company that is looking to potentially harvest nutrient-rich seaweed and kelp in coastal communities along the Great Northern Peninsula and other coastal areas within the province. Our goal is to implement and promote regenerative ocean farming as a strategy to create equitable and sustainable economic opportunities and also to […]

Freshwater fish contribute to the economic and ecological wellbeing of Canada; however, they are in decline globally. To mitigate those threats, accurate health status data for individual fish is critical. Since fish respond to changes in their habitat through gene expression, unexpected changes in gene expression patterns are powerful indicators of fish stress and declining […]

The proposed project objective is to conduct a field study on an acidic soil located at the Battle River Research Group site near Galahad, Alberta. The study will focus on the effects of land application of materials such as biochar, wood ash and sugar beet sludge lime on reducing acidity of the soil, and effects […]

Vertical farming is an emerging industry driven by the intersection of rising food prices, climate volatility and reduced technology costs. However, there are two major barriers to the widespread adoption and long-term viability of vertical farming among prospective entrepreneurs, farmers, and food businesses: high capital costs associated with turn-key vertical farm systems and limitations to […]

Canola is one of Canada’s most important agricultural crops. Blackleg is a serious disease of canola potentially causing losses of hundreds of millions of dollars per year. This project will provide a new method of biocontrol of blackleg which will prevent or reduce losses to canola. This biocontrol method uses bacteria which are predators of […]

Plant breeding companies develop new seed varieties by growing thousands of candidate varieties in large field trials and manually selecting the best-performing varieties. Variety selection is informed by genomic data, but plant populations still need to be grown in field conditions and screened for specific physical characteristics, called phenotypes, such as yield, disease resistance, harvestability […]

Modernizing plant breeding programs through integrated genomic and phenomic data management and analysis is an important organizational innovation for many public and private plant breeding organizations. This project involves enhancing the reliability and maintainability of the GenGuard software platform to support marker-assisted breeding with the partner organization. The objectives of the project include improving the […]

The development of a cheap, environmentally sustainable, protein-rich animal feed is of key interest to the growing livestock and aquaculture sectors. Cvictus is in the process of commercializing an integrated low-carbon footprint production platform that can convert coal to methanol, which can then be used to grow a single-cell protein (SCP) animal feed that would […]

The proposed research focuses on optimizing the partner organization’s innovative passive solar greenhouses. We propose a distributed learning and automation system (DLAS) that collects sensing data from multiple greenhouses. The DLS learns an optimal predictive model by aggregating the local models from multiple edge devices. The DLAS keeps improving the model as more sensing data […]