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Automation of commercial wild blueberry harvester to improve harvestable berry yield and minimize operator stress

Automation of commercial wild blueberry harvester to improve harvestable berry yield and minimize operator stress
商业野生蓝莓收割机的自动化可提高可收浆果产量并最大限度地减少操作员压力
批准号:
490632-2015
负责人:
Esau, Travis
金额:
$9.65万
依托单位:
依托单位国家:
加拿大
项目类别:
Collaborative Research and Development Grants
财政年份:
2019
资助国家:
加拿大
项目状态:
已结题
起止时间:
2019-01-01 至 2020-12-31

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中文摘要
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英文摘要
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.
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会议论文
Design and Development of Mechanized Systems to Increase Farm Efficiency, Create Farm Traceability and Monitor True Cost of Production: A Pathway to Digital Agriculture
  • 批准号:
    RGPIN-2019-06295
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.26万
  • 财政年份:
    2022
  • 负责人:
    Esau, Travis
  • 依托单位:
Design and Development of Mechanized Systems to Increase Farm Efficiency, Create Farm Traceability and Monitor True Cost of Production: A Pathway to Digital Agriculture
  • 批准号:
    RGPIN-2019-06295
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.26万
  • 财政年份:
    2021
  • 负责人:
    Esau, Travis
  • 依托单位:
Automation of commercial wild blueberry harvester to improve harvestable berry yield and minimize operator stress
  • 批准号:
    490632-2015
  • 项目类别:
    Collaborative Research and Development Grants
  • 资助金额:
    $9.65万
  • 财政年份:
    2020
  • 负责人:
    Esau, Travis
  • 依托单位:
Design and Development of Mechanized Systems to Increase Farm Efficiency, Create Farm Traceability and Monitor True Cost of Production: A Pathway to Digital Agriculture
  • 批准号:
    RGPIN-2019-06295
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.26万
  • 财政年份:
    2020
  • 负责人:
    Esau, Travis
  • 依托单位:
国内基金
海外基金
低辐射空间环境下商用多核处理器层次化软件容错技术研究
  • 批准号:
    90818016
  • 项目类别:
    重大研究计划
  • 资助金额:
    50.0万元
  • 批准年份:
    2008
  • 负责人:
    傅忠传
  • 依托单位: