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Grant: Applied Research and Development Grants - Level 1

Kwantlen Polytechnic University

$25,000.00

Plant recognition for robotic crop weed elimination technology

EF 2017-18

Résumé
This new partnership between Kwantlen Polytechnic University (KPU) and Eleos Robotics Inc. will launch a Phase I research project to assist Eleos with development of weed recognition capacity for their patent-pending agricultural robotic weeder. ""Culture Bot"", an artificially intelligent robot which can negotiate uneven terrain and geo-locates itself using cloud and GPS technology, designed to monitor row crops for multiple purposes. The first function to be built into the robot will be to detect, identify and eliminate weeds using a high-precision microwave targeting system, before they require chemical management. KPU's computer science expertise will help develop the multiple software components that will constitute the robot's ""Cogitative Engine"" then test the software to determine the best interface for the propriety hardware and provide the robot with precise instructions based on multiple environmental variables. KPU will also bring horticultural expertise to ensure testing on weeds is valid and weed ID algorithms are providing the correct ID. The company will benefit from access to expertise they do not currently have. Students and new grads will benefit by developing skills and experience in applied research. Successful completion of this project will increase KPU's capacity to assist local companies with the R&D in related future projects. It will also open the door to the next Eleos challenges for their Culture Bot - to monitor and treat pests and diseases.
Programme
Applied Research and Development Grants - Level 1
Emplacement
British Columbia, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
519461-2017
Name nom
Henderson, Deborah
Department département
Head Office
Organization id
21754
Institution établissement
Kwantlen Polytechnic University
Province en
British Columbia
Province fr
Colombie-Britannique
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2017
Competition year année de concours
2017
Award amount
25000
Program id
CARD1
Program name en
Applied Research and Development Grants - Level 1
Program name fr
Subventions de recherche et développement appliquée - niveau 1
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
1561
Committee name en
Applied Research and Development Grants
Committee name fr
Subventions de recherche et développement appliquée
Area of application code
104
Area of application group en
Agriculture and primary food production
Area of application group fr
Agriculture et produits alimentaires primaires
Area of application en
Crop management (pest,disease control and breeding)
Area of application fr
Gestion des cultures (lutte contre les organismes nuisibles et reproduction)
Research subject code
2708
Research subject group en
Information technology
Research subject group fr
Technologie de l'information
Research subject en
Image processing
Research subject fr
Traitement des images
Partie
1
Nb partie
1
Application title
Plant recognition for robotic crop weed elimination technology
Keyword
NSERC
Application summary
This new partnership between Kwantlen Polytechnic University (KPU) and Eleos Robotics Inc. will launch a Phase I research project to assist Eleos with development of weed recognition capacity for their patent-pending agricultural robotic weeder. ""Culture Bot"", an artificially intelligent robot which can negotiate uneven terrain and geo-locates itself using cloud and GPS technology, designed to monitor row crops for multiple purposes. The first function to be built into the robot will be to detect, identify and eliminate weeds using a high-precision microwave targeting system, before they require chemical management. KPU's computer science expertise will help develop the multiple software components that will constitute the robot's ""Cogitative Engine"" then test the software to determine the best interface for the propriety hardware and provide the robot with precise instructions based on multiple environmental variables. KPU will also bring horticultural expertise to ensure testing on weeds is valid and weed ID algorithms are providing the correct ID. The company will benefit from access to expertise they do not currently have. Students and new grads will benefit by developing skills and experience in applied research. Successful completion of this project will increase KPU's capacity to assist local companies with the R&D in related future projects. It will also open the door to the next Eleos challenges for their Culture Bot - to monitor and treat pests and diseases.