Marketing Intern at Neupeak Robotics

Neupeak aims to bring fully automated strawberry harvesting robots that will use cutting edge advances in artificial intelligence to easily maneuver through a farm, identify ripe and undamaged strawberries, and pluck them from the plant. As Neupeak’s robotic strawberry harvesters reach technical maturity, we will need to undertake a sustained marketing and sales push to […]

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HI-DSR: Hyperspectral Images enhancement via Deep Sparse Representation model

The current non-destructive and fast method of hyperspectral imaging technology are used for different application from remote sensing to medical imaging and food processing. Due to the nature of acquired data which are massive as well as physical consideration depend on the type of application, the careful, fast and accurate data analysis is mandatory to […]

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A Mobile Tree Mapping Application For Toronto Urban Parks

The purpose of this MITACS Accelerate project is to create a cross-platform mobile tree mapping application that would serve as a learning resource and participatory interface for citizen engagement concerning urban tree stewardship. The tool will be prototyped for Grange Park, a prominent and heavily used urban park in downtown Toronto. Development of the mobile […]

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Plant-sourced high-performance fibres for the production of novel textiles

The multi-billion dollar fashion industry has a problem: many of the high-performance fabrics used in clothing are neither sustainably produced or environmentally friendly. However, there is a considerable market gap in sustainable textiles. Canadian corporations like Proteins Easy Corp are tackling the sustainability problem head on and actively seeking environmentally friendly solutions. This proactive approach […]

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Sensor-based Collision-Free Motion Planning and Control for Autonomous Cart Pullers at Advanced Intelligent Systems (AIS)

The objective is to develop and implement safe navigation algorithms and frameworks for autonomous cart pullers that are supposed to move planted pots on carts within an unknown and dynamically-changing environment in plant nurseries. The cart puller operation needs to be done safely in an environment that is shared by other vehicles, nursery utilities such […]

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Computer Vision for Crop Weed Identification

Aid in the development of a Machine Learning Model for utilization by an Agricultural Robot. This Robot performs several tasks, primarily the mechanical removal of weeds from vegetable farms. Therefore, the machine learning model is concerned with informing the robot of locations of interest points of the weed and crop plants, as viewed from several […]

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Application and optimization of molecular methods as an early predictor of cannabinoid content through the growing process of select cannabis cultivars in an industrial starter plant production

This project will allow Apollogreen and Loyalist College’s Applied Research Centre (ARC) to establish expertise based on a new analytical approach of cannabinoids at an early growth stage, allowing them to analyse and select cultivars to be commercially grown based on the sought after components for specific applications of licenced producers. This analytical process uses […]

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Oilseed with Depleted Glycosides

Flax seed is of interest as a health food product with high omega-3 fatty acid, protein and fiber content. The seeds naturally contain compound that are anti-nutritive and have a bitter flavor. We have developed a process to safely and cheaply remove these compounds from whole flax seed. We intend to investigate the nutritive qualities, […]

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Strengthening Process Efficiencies in a Changing Industry

This study aims to improve process efficiencies while supporting the development of products that best respond to market trends in the context of a post COVID-19 globalized market. From a process engineering perspective, the proposed activities seek to improve mill competitiveness through waste management to both reduce load on water treatment systems and obtain value […]

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Building Standards for Online Voting: Safeguarding the Industry

This goal of this project is to develop a Standards Proposal and initial framework to guide the use of online voting in municipal elections in Ontario. Elections in municipalities in Ontario are among the most digital in the world, yet there are no guidelines to shepherd use of the technology. Working with our partners we […]

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