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Grant: Collaborative Research and Development Grants

University of Western Ontario

$82,000.00

Advanced technologies for autonomous robotic harvesting of mushroom

FY 2015-16

Summary
The mushroom growing industry is valued at over $100 billion per annum worldwide according to the National Agricultural Statistics Service. All types of mushrooms destined for the fresh market are currently harvested by hand. The labour cost for harvesting mushrooms accounts for more than 30% of the total production cost. The manual harvesting of mushrooms is a labour intensive process and costs this industry millions in revenue losses. In addition to the direct cost of harvesting, the recruitment and retention of skilled workers for manual harvesting of mushrooms is a real challenge as well. On average, it takes about 24 months of training for a worker to become an expert harvester. Recent changes in the Temporary Foreign Worker Program (TFWP) in Canada have made the problem even more pressing to the point that mushroom farmers are now struggling to acquire the labour force they need and predict the shortage of harvesters for the foreseeable future. The aim of this research is to develop a robotic harvesting solution that can address the root cause of the labour shortages faced by mushroom industry across the board, contribute to a significant reduction in the mushroom production cost, and increase Canada's global competitiveness in the field of agricultural robotics.
Program
Collaborative Research and Development Grants
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
488611-2015
Name nom
Kermani, Mehrdad
Department département
Electrical and Computer Engineering
Organization id
36
Institution établissement
University of Western Ontario
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2015
Competition year année de concours
2015
Award amount
82000
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
1209
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Agriculture
Area of application fr
Agriculture
Research subject code
2601
Research subject group en
Robotics
Research subject group fr
Robotique
Research subject en
Robotic control
Research subject fr
Systèmes de commande
Partie
1
Nb partie
2
Application title
Advanced technologies for autonomous robotic harvesting of mushroom
Keyword
NSERC
Application summary
The mushroom growing industry is valued at over $100 billion per annum worldwide according to the National Agricultural Statistics Service. All types of mushrooms destined for the fresh market are currently harvested by hand. The labour cost for harvesting mushrooms accounts for more than 30% of the total production cost. The manual harvesting of mushrooms is a labour intensive process and costs this industry millions in revenue losses. In addition to the direct cost of harvesting, the recruitment and retention of skilled workers for manual harvesting of mushrooms is a real challenge as well. On average, it takes about 24 months of training for a worker to become an expert harvester. Recent changes in the Temporary Foreign Worker Program (TFWP) in Canada have made the problem even more pressing to the point that mushroom farmers are now struggling to acquire the labour force they need and predict the shortage of harvesters for the foreseeable future. The aim of this research is to develop a robotic harvesting solution that can address the root cause of the labour shortages faced by mushroom industry across the board, contribute to a significant reduction in the mushroom production cost, and increase Canada's global competitiveness in the field of agricultural robotics.