Grant: Collaborative Research and Development Grants
University of Ontario Institute of Technology
$50,000.00
Real-time data analytics for mushroom farms
EF 2018-19
Résumé
This project aims at developing a data analytics framework for mushroom farms from the data received from harvesting, packaging, and sales. The analytics framework will help predicting the demand to reduce waste and optimize the supply chain. Since mushrooms require special considerations for growing, and the data analytics framework will help this specific agriculture farm industry to leverage the potentials of machine learning. In this project, our objectives are to (1) create a real-time data analytics framework to analyze mushroom-specific information, (2) predict supply and demand based on the analysis of the data, and (3) track and control any inputs that can optimize the supply and demand. The proposed innovative real-time data analytics platform will be beneficial for current and next-generation mushroom farms.*
Programme
Collaborative Research and Development Grants
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
532226-2018
Name nom
Azim, Akramul
Department département
Electrical, Computer and Software Engineering
Organization id
19222
Institution établissement
University of Ontario Institute of Technology
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2018
Competition year année de concours
2018
Award amount
50000
Program id
CRDPJ
Program name en
Collaborative Research and Development Grants
Program name fr
Subventions de recherche et développement coopérative
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
1207
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Information, computer and communication technologies
Area of application fr
Technologie de l'information, des ordinateurs et des réseaux de communications
Research subject code
2700
Research subject group en
Information technology
Research subject group fr
Technologie de l'information
Research subject en
Information technology
Research subject fr
Technologie de l'information
Partie
1
Nb partie
1
Application title
Real-time data analytics for mushroom farms
Keyword
NSERC
Application summary
This project aims at developing a data analytics framework for mushroom farms from the data received from harvesting, packaging, and sales. The analytics framework will help predicting the demand to reduce waste and optimize the supply chain. Since mushrooms require special considerations for growing, and the data analytics framework will help this specific agriculture farm industry to leverage the potentials of machine learning. In this project, our objectives are to (1) create a real-time data analytics framework to analyze mushroom-specific information, (2) predict supply and demand based on the analysis of the data, and (3) track and control any inputs that can optimize the supply and demand. The proposed innovative real-time data analytics platform will be beneficial for current and next-generation mushroom farms.*
