Towards the development of a Bayesian prognostic tool of air pollution in Ontario

Air pollution is a major concern in urban centers because not only does affect vulnerable populations, but also impacts the quality of life for urban dwellers. With the new implementation of the Air Quality Health Index (AQHI) by the Ontario Ministry of the Environment and Climate Change to replace the existing Ontario Air Quality Index (AQI), there is an emerging need to forecast future environmental impacts on air quality and assess the achievability of the newly-adopted index.

Development of new on-site sampling, high-throughput and high sensitive analysis for determination of small molecules in saliva

Saliva is a promising alternative specimen since it is easy and non-invasive to collect, and available at any time. Solid-phase microextraction (SPME) has been recently introduced as a green, simple, fast and sensitive sample preparation technique for high-throughput and in vivo analysis of drugs in various biological fluids, including saliva.

Multi-Criteria Supply Chain Design and Management Tool for Food Convergent Innovation in Dairy Business

The project will develop a firm-level multi-criteria supply chain design and management tool for Parmalat that will accommodate conflict and convergence between requirements for lean, agile, green, resilient, and nutrition characteristics that are all needed for convergent innovation (CI) in the dairy sector supply chain.

Pool-riffle design for river restora

Professionally practicing Civil Engineers and Earth Scientists engage in stream restoration actions in order to enhance freshwater habitats for salmon, trout, and a variety of other species. There is a wealth of procedures and standards available to help practitioners develop design plans. However, there is a lack of specific guidelines to help identify stream reconstruction details that will give the overall effort a greater likelihood of meeting performance expectations and criteria after the project has been constructed.

How to improve eddy covariance data quality, model validation and user experience through the integration of soil gas flux measurements using Eosense’s eosFD chamber

Reliable measurements of carbon cycling are challenging. Eddy covariance is the technique used by a global network of researchers that measures the net fluxes of gas to and from an ecosystem. However, there are issues with gaps in data under certain environmental conditions. Eosense’s eosFD forced diffusion chamber technology allows for long-term, remote and off-grid deployments to measure soil respiration with low power consumption.

Bobolink and eastern meadowlark occupancy in different agricultural land cover types

The bobolink (Dolichonyx oryzivorus) and eastern meadowlark (Sturnella magna) are listed as a species at risk in several Canadian provinces. Both songbird species are most abundant in Ontario and breed in hayfields, pastures, and other grassland-like environments. Ontario’s Endangered Species Act (ESA) seeks to protect these species by regulating activities that negatively affect their habitat.

Low maintenance lawn with big climate footprint

Reduction in C release to atmosphere and sequestering in soil has shown strong potential to combat climate change and only possible source where city landscapes can sequester C in soil is mainly in the lawns. Researching on new varieties on lawn grasses to increase C sequestration has the potential to reduce grower’s resilience on high maintenance grass species with least C sequestration potential. Cangro Enterprise Inc.

3-D UAV Magnetometry for Improved Target Characterization in Mineral Exploration

Geophysical exploration is one of the primary forms of preliminary site investigation used to characterize ore potential and the economic viability of newly discovered mineral deposits. The current platforms for collecting magnetic data include dense coverage but low resolution airborne surveys and high resolution but low coverage terrestrial surveys. The recent
proliferation of Unmanned Aerial Vehicles (UAV) offers an opportunity to fill the observation gap inherent in conventional
survey methods.

Building Information Modeling Enabled Dependency Risk Analysis for Resilient Building Design and Operation

This project integrates building information models (BIM) with RiskLogik's proprietary risk and resilience solutions to progress the design of complex buildings. This is accomplished by supporting the improved design of the interrelationships between building systems, such as mechanical, electrical, communications, and security systems and the operations that reside within the buildings. As a result, performance is improved by ensuring a resilient network of interconnections that reduces system conflicts and cascade effects.

Developing a UAV-based camera for precision agriculture

A&L Canada Labs Inc. is developing a UAV (Unmanned Aerial Vehicle) or drone with a multi-spectral camera for various precision agriculture applications. The multi-spectral camera has 6 bands: one in the red band, one in the blue band, one in the green band, and three in the NIR regions. The scope of this project is to develop precision agriculture products from the images acquired by the A&L Canada Labs Inc. camera. The first application is late blight disease detection over potato fields.