Grant: Collaborative Research and Development Grants
Dalhousie University
$146,820.00
Automation of commercial wild blueberry harvester to improve harvestable berry yield and minimize operator stress
EF 2017-18
Résumé
The wild blueberry industry is facing increased harvesting losses (15 to 25%), caused by substantial variation in crop parameters (plant height, plant density, fruit zone), field conditions (rocks, slope, bare spots, weeds) and fruit yield. Currently, the harvester operator has to frequently adjust machine settings (head height, ground speed, header rpm) manually, based on his/her judgment, according to the variation in crop/field conditions, and fruit yield to reduce fruit loss. The unique features of the wild blueberry cropping system as compared to other closed canopy crops emphasize the need for the development of automated systems to increase harvester and operator efficiency in order to improve berry yield and quality. The overall goal of the proposed research initiative is to develop a cost-effective sensing and control system to automate blueberry harvester to increase harvestable yield and decrease operator stress. Wild blueberry growers set a goal to increase harvestable yieldby 33% in the next five years. To achieve this milestone, the technology based products and processes envisioned include; (i) develop an innovative technology to sense plant height, ground/rock and fruit yields in real-time during harvesting; (ii) develop a computerized automated control system to facilitate on -the- go decision making regarding head height, ground speed and head rpm during harvesting; (iii) compare automated harvester with traditional harvester to improve berry picking efficiency; and (iv) replacement of non-automated harvester with innovative automated harvester. This proposal is part of a multi¬disciplinary research effort at Dalhousie University in collaboration with Doug Bragg Enterprises, Collingwood, Nova Scotia. This collaboration between industry and scientists was initiated to develop innovative and viable technologies that will enhance harvestable yield, assist with stabilization of yields over time, and increase farm profitability and ultimately lead to a more sustainable wild blueberry industry in Canada. Increased harvesting efficiency (say 5% only) with no additional expense would contribute $5.5 million to the NS economy and $31 million to Atlantic Provinces and Quebec every year.
Programme
Collaborative Research and Development Grants
Bénéficiaire
Emplacement
Nova Scotia, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
490632-2015
Name nom
Zaman, Qamar
Department département
Engineering (Faculty of Agriculture)
Organization id
79
Institution établissement
Dalhousie University
Province en
Nova Scotia
Province fr
Nouvelle-Écosse
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2017
Competition year année de concours
2015
Award amount
146820
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
1200
Research subject group en
Agricultural engineering
Research subject group fr
Génie rural
Research subject en
Agricultural engineering
Research subject fr
Génie rural
Partie
2
Nb partie
5
Application title
Automation of commercial wild blueberry harvester to improve harvestable berry yield and minimize operator stress
Keyword
NSERC
Application summary
The wild blueberry industry is facing increased harvesting losses (15 to 25%), caused by substantial variation in crop parameters (plant height, plant density, fruit zone), field conditions (rocks, slope, bare spots, weeds) and fruit yield. Currently, the harvester operator has to frequently adjust machine settings (head height, ground speed, header rpm) manually, based on his/her judgment, according to the variation in crop/field conditions, and fruit yield to reduce fruit loss. The unique features of the wild blueberry cropping system as compared to other closed canopy crops emphasize the need for the development of automated systems to increase harvester and operator efficiency in order to improve berry yield and quality. The overall goal of the proposed research initiative is to develop a cost-effective sensing and control system to automate blueberry harvester to increase harvestable yield and decrease operator stress. Wild blueberry growers set a goal to increase harvestable yieldby 33% in the next five years. To achieve this milestone, the technology based products and processes envisioned include; (i) develop an innovative technology to sense plant height, ground/rock and fruit yields in real-time during harvesting; (ii) develop a computerized automated control system to facilitate on -the- go decision making regarding head height, ground speed and head rpm during harvesting; (iii) compare automated harvester with traditional harvester to improve berry picking efficiency; and (iv) replacement of non-automated harvester with innovative automated harvester. This proposal is part of a multi¬disciplinary research effort at Dalhousie University in collaboration with Doug Bragg Enterprises, Collingwood, Nova Scotia. This collaboration between industry and scientists was initiated to develop innovative and viable technologies that will enhance harvestable yield, assist with stabilization of yields over time, and increase farm profitability and ultimately lead to a more sustainable wild blueberry industry in Canada. Increased harvesting efficiency (say 5% only) with no additional expense would contribute $5.5 million to the NS economy and $31 million to Atlantic Provinces and Quebec every year.