Grants and Contributions

This project aims to determine optimal conditions for the extraction of heat-sensitive herbal materials like Dandelion, Echinacea Purpurea, Gotu Kola, Lemon Balm, Marshmallow, Milky Oat Seed, Passionflower, Scullcap and Valerian – which are made with fresh, undried, plant material. It further aims to determine optimal conditions for the extraction of volatile-rich materials like Sage, Peppermint, Motherwort, Lemon Balm, Juniper, Holy Basil, Ginger, Fennel, Chastetree, Chamomile, Catnip, Cardamom, Rosemary, Boswellia and Anise Seed.

Skyplan proposes a series of fundamental and software innovations into advancing its core flight plan engine capabilities. Automation of aircraft maintenance corrections, incorporation of dynamic cost indexing, and fuel tankering calculations serve to increase flight planning capacity for aviation dispatchers, reduce manual tasks, errors, and increase fuel savings with innovative algorithms. Airline, business aviation, and cargo operators will benefit from an increase in traffic volume, efficient planning, and cost effective fuel regimes. These developments will mark a leap forward in flight planning, an ability to use new procedures, exploit innovative support tools, and modify restrictions in improving the global airspace.

This project is for the development of an in-line system for protein content of raw milk in a dairy barn. This will help Canadian dairy farmers to optimize their operation, increase herd life span, and to produce the highest quality milk possible.

Development of a self-service portal for electric vehicle charging network operators to white-label SWTCH’s electric vehicle charging management platform for individual charging networks.

This project will develop out software modules of a performance management system enabling enterprise level functionality.

To develop better and faster production techniques for producing flexographically printing materials used in the food packaging industry:- including print capabilities, thin film printing, bonding techniques, shrink sleeve products, special effects, environmentally friendly materials, etc.

The objective of this project is to use artificial intelligence (AI) approaches to solve complex industrial problems. The two biggest advantages of AI-based approaches are the ability to continuously learn and also learn adequately from historical data. Traditionally, many process information are unmeasurable during live operations because of instrumentation limitations. Also, plants are not sufficiently optimized to maximize production quality, while minimizing waste. Using AI-based approaches, we can develop complex non-linear models from historical to predict the unmeasurable process information. The models are also continuously learning from the new data coming into the plant.

Prototype system for autonomous Weed Identification and Treatment System using Aerial Drones and Computer Vision.

Development of automated downhole pump card analytics augmented by machine learning to predict, calculate and self-correct friction distribution along the rod string for horizontal and deviated wells that experience excessive friction.

In support of the immigration-oriented Provincial Nominee Programs (PNP) across Canada, SuccessionMatching has partnered with the largest inbound immigration firm in Canada on a program to help match international buyers with the business and farm owners looking to divest their business operations. SuccessionMatching is developing online processes in support of the PNP programs. Part of the online process involves developing an algorithm to optimize matching the sellers on the website with Canadian and international buyers.