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Grant: Applied Research and Technology Partnership Grants

Nova Scotia Community College

$996,753.00

Remote Sensing Technology to Improve Marine Spatial Planning, Kelp Assessment and Aquaculture

EF 2022-23

Résumé
The proposed NSERC ARTP project centres on identification and development of viable sources of seaweed in Atlantic Canada for wild cultivation, and particularly as broodstock for near-shore kelp aquaculture facilities (kelp farms).The proposed applied research projects are industry driven and engage committed seafood and seaweed farmers, processors, technical services firms, and First Nations 3D visualization expertise to advance their businesses and make effective resource planning decisions in compliance with regulations.Three colleges are included in the intersecting research activities of the project: Nova Scotia Community College (project lead; NSCC), College of the North Atlantic (CNA), and Holland College, Canada's Smartest Kitchen (CSK).Activities will focus on high-resolution, remote sensing and mapping of habitats and environmental features e.g., water depth, currents, location of sensitive species (NSCC); algorithm development to derive predictive models for sustainable developmentusing data on wild kelp biomass, environmental conditions,and growth patterns (CNA); and consumer food science using the kelp resources for value-added healthy products (CSK).This tri-college partnership is essential and symbiotic in providing research to committed industry partners that capitalizes on each college's technical strengths toward a strategic area of economic development and expansion in Atlantic Canada: aquaculture that moves beyond seafood to target R&D in kelp aquaculture.The team will employ tangible EDI practices to advance research associates and recruit diverse students building on the colleges' depth of expertise on industry projects and on respectful, meaningful, collaboration with Indigenous communities.The project will train over 50 students in the areas of research planning, industry collaboration, and execution over the two-year project duration both individually and through cross-institutional multidisciplinary engagement.The team will produce tangible outcomes for industry including provision of near-shore interactive data and 3D visualization supported by predictive modelling to inform business expansion and more efficient operations. The consumer base will be expanded through sensory-tested prototype recipe formulations and marketing intelligence for industry partners as the foundation for scaled-up commercialized food products.
Programme
Applied Research and Technology Partnership Grants
Emplacement
Nova Scotia, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
CCB21-2021-00334
Name nom
Joseph, Alain
Department département
Applied Research
Organization id
16240
Institution établissement
Nova Scotia Community College
Province en
Nova Scotia
Province fr
Nouvelle-Écosse
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2022
Competition year année de concours
2021
Award amount
996753
Program id
CCB21
Program name en
Applied Research and Technology Partnership Grants
Program name fr
Subventions de partenariat en recherche appliquée et en technologie
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
97
Committee name en
Scholarships and Fellowships Internal Decision Committee
Committee name fr
Comité de décision interne - Bourses
Area of application code
9999
Area of application group en
Not available
Area of application group fr
Non disponible
Area of application en
Not available
Area of application fr
Non disponible
Research subject code
9999
Research subject group en
Not available
Research subject group fr
Non disponible
Research subject en
Not available
Research subject fr
Non disponible
Installment
inst:2
Partie
1
Nb partie
2
Application title
Remote Sensing Technology to Improve Marine Spatial Planning, Kelp Assessment and Aquaculture
Application summary
The proposed NSERC ARTP project centres on identification and development of viable sources of seaweed in Atlantic Canada for wild cultivation, and particularly as broodstock for near-shore kelp aquaculture facilities (kelp farms).The proposed applied research projects are industry driven and engage committed seafood and seaweed farmers, processors, technical services firms, and First Nations 3D visualization expertise to advance their businesses and make effective resource planning decisions in compliance with regulations.Three colleges are included in the intersecting research activities of the project: Nova Scotia Community College (project lead; NSCC), College of the North Atlantic (CNA), and Holland College, Canada's Smartest Kitchen (CSK).Activities will focus on high-resolution, remote sensing and mapping of habitats and environmental features e.g., water depth, currents, location of sensitive species (NSCC); algorithm development to derive predictive models for sustainable developmentusing data on wild kelp biomass, environmental conditions,and growth patterns (CNA); and consumer food science using the kelp resources for value-added healthy products (CSK).This tri-college partnership is essential and symbiotic in providing research to committed industry partners that capitalizes on each college's technical strengths toward a strategic area of economic development and expansion in Atlantic Canada: aquaculture that moves beyond seafood to target R&D in kelp aquaculture.The team will employ tangible EDI practices to advance research associates and recruit diverse students building on the colleges' depth of expertise on industry projects and on respectful, meaningful, collaboration with Indigenous communities.The project will train over 50 students in the areas of research planning, industry collaboration, and execution over the two-year project duration both individually and through cross-institutional multidisciplinary engagement.The team will produce tangible outcomes for industry including provision of near-shore interactive data and 3D visualization supported by predictive modelling to inform business expansion and more efficient operations. The consumer base will be expanded through sensory-tested prototype recipe formulations and marketing intelligence for industry partners as the foundation for scaled-up commercialized food products.