Projets novateurs réalisés

Explorez des milliers de projets réussis issus de la collaboration entre organisations et talents postsecondaires.

31 620 projets complétés

2978
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5221
C.-B.
856
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696
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899
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9419
ON
9858
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98
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619
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1192
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Projets par catégorie

AI decision support tools for optimizing alfalfa yield and nutritive value

Alfalfa forage is the queen of forages in Canada, both for its nutritional value and for its global distribution across Canada. However, alfalfa yield and nutritive value are affected by multiple environmental and agronomic factors. The interaction among all of those factors makes it difficult for producers and field advisors to determine which of these leads to poor yields and how better management practices can improve yield. Producers and field advisors do not have adequate tools to take all of those factors into consideration. During this project we will develop a decision support tool targeting specific actions for improving yield and forage nutritive value from the Alfalfa field by integrating agrarian factors with artificial intelligence. This project will develop a Diagnostic and decision support tool using machine learning integrating proximal and remote data collected in the field to 1) Identify potential environmental and soil-related factors affecting alfalfa yield and nutritive value derived from the nutritional value of forage samples; 2) Predict potential yield and nutritive value loss derived from soil nutrient analysis related to actual conditions in the field.

Voir la description complète du projet
Superviseur du corps professoral :

Bruno Agard

Étudiant :

Partenaire :

Canadian Forage and Grassland Association

Discipline :

Mathematics

Secteur :

Agriculture

Université :

Polytechnique Montréal

Programme :

Accelerate

AI-driven decision support tools for alfalfa’s winter survival and persistency

Alfalfa forage is the queen of forage in Canada, both for its nutritional value and for its global distribution across Canada; however, its weakest feature is poor winter survival and persistence. This parameter is affected by a multitude of environmental and management factors making it difficult to understand the reasons for this low persistence. This project will develop a Diagnostics and decision support tool using machine learning integrating proximal and remote data collected in the field to allow producers and field advisors to scout using drones, to understand the reason for the problem and to identify the best management practice to adopt for improving winter survival and persistency. The tool developed during the project will be accessible under cloud services to all producers and field advisors in Canada and will result in increased productivity, profitability and a reduction in the environmental footprint.

Voir la description complète du projet
Superviseur du corps professoral :

Viacheslav Adamchuk;Karem Chokmani;Saeid Homayouni

Étudiant :

Partenaire :

Canadian Forage and Grassland Association

Discipline :

Life Sciences

Secteur :

Agriculture

Université :

McGill University; Université du Québec : Institut national de la recherche scientifique

Programme :

Accelerate

Développement des capacités d’assemblage des robots collaboratifs

Ce projet vise à mettre au point des techniques inédites pour résoudre le problème de faire de l’assemblage complexe avec un robot collaboratif. Dans le domaine industriel, les lignes d’assemblage sont composées de robots industriels. Les trajectoires que doivent faire ces robots sont calculées et codées minutieusement. Des senseurs particuliers sont installés, sans compter l’infrastructure les entourant. Cette intégration est très lourde, ainsi ces lignes ne sont ensuite pas modifiables aisément. Pour de plus petites séries et pour ajouter de la flexibilité, il serait utile d’utiliser des robots collaboratifs. Ils nécessitent une infrastructure plus légère, ont des programmes facilement modifiables et peuvent cohabités avec des humains. Il est donc nécessaire de développer les capacités d’assemblage des robots collaboratifs se trouvant dans l’industrie pour permettre leur utilisation dans les opérations d’assemblage complexe. Il peut s’agir par exemple de prendre des pièces, de les joindre ensembles puis de les visser.

Voir la description complète du projet
Superviseur du corps professoral :

Clément Gosselin

Étudiant :

Partenaire :

Robotiq

Discipline :

Engineering

Secteur :

Manufacturing; Professional, scientific and technical services

Université :

Université Laval

Programme :

Accelerate

Portable Device for COVID-19 Nucleic Acid Tests

We have seen the recent surge of COVID-19 because we cannot afford another massive shut-down. A portable and timely detection device for the COVID-19 nucleic test is more desirable. In this proposal, we propose to develop an impedance-based nucleic acid testing device. Our LOC devices are low cost, user friendly alternatives to centralized lab tests. By partnering with Hidaca Ltd., our ultimate goal is to have this made-in-Canada technology available on the market as soon as possible to benefit Canadians and the Canadian economy.

Voir la description complète du projet
Superviseur du corps professoral :

Jie Chen

Étudiant :

Partenaire :

Hidaca Ltd

Discipline :

Engineering

Secteur :

Information and cultural industries; Manufacturing; Professional, scientific and technical services

Université :

University of Alberta

Programme :

Accelerate

Evaluation, Analysis and Design of Flood-related Climate Change Adaptation Policies for Coastal B.C.

Under the 2010, Preparing for Climate Change: British Columbia’s Adaptation Strategy (Ministry of Environment, 2010) the Government of British Columbia has been tasked with integrating aspects of adaptation planning into their policies, legislation and regulations. By evaluating the policies and programs that the Government of B.C. has legislated and implemented to date, this internship will assess the preparedness and resiliency of the coastal communities of the province. In collaboration with the Arlington Group, the intern will focus on a qualitative analysis of current flood management policies and programs within the Government of B.C., designing flood management policy alternatives when existing policies hinder adaptive measures, and then exploring the effects of flood-related climate change adaptation policies on spatial planning. Through these three broad steps, this internship will help to evaluate, and then support, flood-related policies relevant to coastal communities in B.C.

Voir la description complète du projet
Superviseur du corps professoral :

Maged Senbel

Étudiant :

Partenaire :

Arlington Group Planning + Architecture Inc

Discipline :

Sociology

Secteur :

Professional, scientific and technical services

Université :

The University of British Columbia

Programme :

Accelerate

Modelling and Assessment of Cloud Based Smart Dual Fuel Switching System (SDFSS) of Residential Hybrid HVAC System for Simultaneous Reduction of Energy Cost and Greenhouse Gas Emission Under Smart Grid

The objective of this research is to develop models to assess potential benefits of cloud-based Smart Dual Fuel Switching System (SDFSS) of the residential hybrid HVAC system of electric air source heat pump (ASHP) and natural gas furnace/boiler (NGFB) for simultaneous reduction of energy cost and greenhouse gas (GHG) emission. It will entail detailed modelling, simulation, and optimization of three different well studied residential houses in four regions of Ontario to assess the potentials of such smart cloud-based supervisory control under different Time-of-Use (TOU) electricity prices and federal carbon tax schemes in terms of maximizing energy cost saving and GHG emission reduction while providing a flexible and ubiquitous mechanism for utilities (both electric and natural gas) to better manage their infrastructure for distributed renewable energy generation and load management under the smart grid framework. The aim of this project is to answer the following research question: “How effective are the SDFSSs in different cold climate cities, and how does it perform in future high-carbon pricing scheme from a GHG emission and economic perspective?”

Voir la description complète du projet
Superviseur du corps professoral :

Alan Fung

Étudiant :

Partenaire :

Sustainable Buildings Canada

Discipline :

Engineering

Secteur :

Construction and infrastructure; Other services (except public administration); Professional, scientific and technical services

Université :

Toronto Metropolitan University

Programme :

Accelerate

Moisture accumulation in a cavity-insulated thick-wall assembly with an exterior air barrier system as a result of natural convection in cold climates

The intent of the proposed research project is to measure the performance of a highly-insulated wall assembly system when an exterior air barrier system is used and air movement within and across the wall occurs. In cold climates, the movement of warm, moist air within and across an exterior wall may result in moisture accumulating on some of the surfaces within the wall if the conditions allow, causing long-term damage if it does not dry out. The proposed research will study the amount of moisture that accumulates within a high-performance wall under specific parameters to provide valuable information to the building industry and improve the long-term performance of energy efficient buildings. RDH Building Science is an important partner in this project and will help in the dissemination of the results of this study, contributing to the success of the success and continued growth of the provincial and national building industry.

Voir la description complète du projet
Superviseur du corps professoral :

Guido Wimmers

Étudiant :

Partenaire :

RDH Building Science Inc

Discipline :

Physics

Secteur :

Professional, scientific and technical services

Université :

University of Northern British Columbia

Programme :

Accelerate

Development of Low-footprint Brine Remediation Technology at Melville Compressor Station

Brine water is often produced in mineral extracting processes. It can cause damage to soil and biota when being spilled during storage and transportation. The damage can last for decades. Even after a mineral extracting process is closed, the damage of soil structure and composition would still not be recovered. The long-lasting devastation may cause irreversible environmental impacts and huge economic losses. Therefore, it is necessary to develop low-footprint on-site remediation technologies.

Voir la description complète du projet
Superviseur du corps professoral :

Gordon Huang

Étudiant :

Partenaire :

SaskEnergy

Discipline :

Engineering

Secteur :

Mining

Université :

University of Regina

Programme :

Accelerate

Reliability Analysis for Bridges Under Autonomous Truck Platooning Loads

The freight trucking industry is in a transformational phase by adopting smart mobility options to reduce operational costs and minimize carbon foot print. The autonomous truck platooning is a major step in this regard and the goal of this research project is to assess the readiness of the bridges for the peculiar loading conditions due this new form of the mobility by performing reliability analysis. The partner organization will benefit from the outcomes of this research by keeping its leading role in the smart mobility segment of the industry.

Voir la description complète du projet
Superviseur du corps professoral :

Luc Chouinard

Étudiant :

Partenaire :

Parsons Inc

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

McGill University

Programme :

Accelerate

Étude et optimisation de la récupération des métaux précieux provenant des circuits imprimés par traitement hydro-métallurgique sur unité pilote.

Nous utilisons de nombreux appareils électriques et électroniques afin d’alléger nos tâches quotidiennes, simplifier notre travail et profiter de nos loisirs. Pour rester compétitifs, les fabricants doivent rendre leurs produits attractifs en améliorant les technologies utilisées, les nouveaux produits remplaçant les anciens à un rythme très soutenu et générant ainsi beaucoup de déchets électroniques. Le projet de recherche est réalisé avec l’organisme Recycle 3R Mauricie. Partenaire de SIT-Mauricie, une entreprise d’économie sociale qui favorise l’intégration sociale et professionnelle ainsi que le rétablissement des personnes ayant une problématique de santé mentale. Ce projet consiste à développer une usine de récupération des métaux précieux provenant déchets électroniques recyclés par un procédé qui sera durable et sécuritaire pour l’environnement et les humains. Cette usine permettra à SIT-Mauricie de créer des emplois et de se positionner comme un des acteurs de référence dans le recyclage écoresponsable, effectué majoritairement ici au Québec.

Voir la description complète du projet
Superviseur du corps professoral :

Georges Abdul-Nour

Étudiant :

Partenaire :

Service d’intégration au travail - Mauricie

Discipline :

Engineering

Secteur :

Health and Related Sciences & Technology

Université :

Université du Québec à Trois-Rivières

Programme :

Accelerate

Crop metabolomic strategies enabling phytoremediation of contaminated soils

High tolerance plants generate a complex and largely unexplored toolkit of secondary metabolites to manipulate soil contamination. Understanding these biochemical mechanisms could reveal potential pathways by which polluted soils could by rejuvenated, but assessment of root exuded metabolites is currently technically challenging and secondary metabolite content in the biomass of leading phytoremediation crops is still yet to be explored in detail using advanced metabolomics.
This project proposes to first develop a novel and integrated methodology for controlled plant growth, soil contamination treatment and quantitative root exudation sampling. Secondly, to use this methodology to profile root exudates samples from contaminated plants using untargeted metabolomics and advanced bioinformatic analysis. Thirdly, to use untargeted metabolomics to reveal the extractable metabolites significantly induced by soil contamination in a mature field-grown phytoremediation crop and identify candidate biorefinery molecules.
Harnessing the natural complexity of plant stress responses provides a unique opportunity to study the advanced biochemistry of the natural world while also confronting an important threat to Canadian agriculture in a potentially economically feasible and environmentally responsible manner. This project aims to meet this opportunity by integrating new trackable approaches to root exudate profiling, advanced metabolomics and sustainable biorefinery in leading phytoremediation crops.

Voir la description complète du projet
Superviseur du corps professoral :

Frédéric Pitre

Étudiant :

Partenaire :

Ville de Montréal

Discipline :

Life Sciences

Secteur :

Environmental Science and Technology; Clean Technology

Université :

Université de Montréal

Programme :

Accelerate

Innovation in Tax Filing: Identifying Barriers and Increasing Access

Federal and provincial governments use the tax system to establish eligibility and deliver benefits and credits to low-income Canadians. Low-income Canadians experience increased barriers to filing their taxes and thus do not maximize available benefits. This is likely to have worsened as free in-person tax clinics closed due to the COVID-19 pandemic or only provide services virtually and as a result become inaccessible for individuals who lack technology and internet access. On average 15.9% of working-age adults in Ontario do not file taxes and a third of social assistance recipients in Ontario do not file taxes. In collaboration with the City of Toronto and Prosper Canada, Seneca will identify barriers to tax filing within Toronto, identify creative solutions, and develop an implementation plan that will ultimately guide City of Toronto policies in the future and assist in the City of Toronto’s Poverty Reduction Strategy.

Voir la description complète du projet
Superviseur du corps professoral :

Varinder Gill

Étudiant :

Partenaire :

Prosper Canada;City of Toronto

Discipline :

Sociology

Secteur :

Other services (except public administration)

Université :

Seneca College of Applied Arts and Technology

Programme :

Accelerate

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Mitacs est financé par le gouvernement du Canada, le gouvernement de l’Alberta, le gouvernement de la Colombie-Britannique, Research Manitoba, le gouvernement du Nouveau-Brunswick, le gouvernement de la Nouvelle-Écosse, le gouvernement de l’Ontario, Innovation PEI, le gouvernement du Québec, le gouvernement de la Saskatchewan, le gouvernement de Terre-Neuve-et-Labrador et le gouvernement du Yukon.