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Improving wild blueberry crop productivity using precision agriculture technologies

Improving wild blueberry crop productivity using precision agriculture technologies
利用精准农业技术提高野生蓝莓作物生产力
批准号:
506338-2016
负责人:
Farooque, Aitazaz
金额:
$5.83万
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
翻译
拟议倡议的总体目标是用创新的精准农业(PA)技术取代目前统一的管理做法,在野生蓝莓种植系统中现场应用农用化学品。目前,野生蓝莓生产商每年每公顷花费高达868加元用于农用化学品。这相当于每年8000万加元,在北美生产93,000公顷。达尔豪西大学(DAL-AC)达尔豪西农业校区的PA团队通过该研究项目开发的用于现场应用的可靠且经济的PA技术的实施将减少农用化学品的使用,提高浆果产量并降低环境风险。拟议的研究还包括研究生和研究助理的培训,以及生产者和行业代表的持续“终身”应用教育。为实现这一目标,所需的创新可行的PA技术包括:(i)开发用于现场施用除草剂和杀真菌剂的小型智能喷雾器的工作原型;(ii)确定市售喷雾器上开发的传感和控制系统的改装潜力和兼容性(John Deere、Agco、哈代和MS喷雾器);(iii)评价用于在清晨和傍晚期间点施农用化学品的不同光源;(iv)研制可供点施肥料的虚拟实境撒施机的工作原型;及(v)量化点施肥料与均匀施用农用化学品比较,在提高作物生产力及环境效益方面的潜力。该项目旨在开发一种可行的工作原型智能喷雾器和施肥机,用于实施特定的应用,以增加农场的盈利能力。该提案是Dal-AC与Slack Farms,德贝尔,NS合作的多学科研究工作的一部分。PA技术的实施将提高Slack Farms以及整个野生蓝莓产业的作物生产力和利润率。智能喷雾器和施肥器将在工业的帮助下商业化,以实现农民规模的现场应用。
英文摘要
The overall objective of the proposed initiative is to replace the current uniform management practices with innovative precision agriculture (PA) technologies for spot-application of agrochemicals in wild blueberry cropping systems. Currently, the wild blueberry producers spend as much as $868 CAD per ha per year on agrochemical applications. This equates to $80 million CAD per year with 93,000 ha in production in North America. The implementation of reliable and affordable PA technologies for spot-applications developed by the PA team at Dalhousie Agricultural Campus, Dalhousie University (DAL-AC) through this research project will reduce agrochemical usage, improve berry yield and reduce environmental risks. The proposed research also contains the training of graduate students and research associates, and the continuing "life long" applied education of producers and industry representatives. To achieve this, innovative viable PA technologies required include; (i) development of a working prototype compact smart sprayer for spot-application of herbicide and fungicide; (ii) identification of the retro-fitting potential and compatibility of the developed sensing and control system on the commercially available sprayers (John Deere, Agco, Hardy and MS sprayers); (iii) evaluations of the different light sources for spot-application of agrochemical during early morning and late evening; (iv) development of working prototype of VR spreader for spot-application of fertilizer; and (v) quantify the potential of spot-applications to improve crop productivity and environmental efficiency as compare to uniform application of agrochemicals. This project aims to develop a viable working prototype smart sprayer and fertilizer spreader for the implementation of spot-specific applications to increase farm profitability. This proposal is part of a multidisciplinary research effort at the Dal-AC in collaboration with Slack Farms, Debert, NS. Implementation of PA technologies will increase crop productivity and profit margins of Slack Farms as well as the wild blueberry industry as a whole. The smart sprayer and fertilizer spreader will be commercialized with the help of industry to accomplish spot-applications at famer's scale.
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会议论文
Development of Precision Agriculture Technologies to Improve Crop Productivity and Mitigate Environmental Risks: A Pathway to Sustainable Agriculture
  • 批准号:
    RGPIN-2017-05769
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.4万
  • 财政年份:
    2022
  • 负责人:
    Farooque, Aitazaz
  • 依托单位:
Development of Precision Agriculture Technologies to Improve Crop Productivity and Mitigate Environmental Risks: A Pathway to Sustainable Agriculture
  • 批准号:
    RGPIN-2017-05769
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.4万
  • 财政年份:
    2021
  • 负责人:
    Farooque, Aitazaz
  • 依托单位:
Development of Precision Agriculture Technologies to Improve Crop Productivity and Mitigate Environmental Risks: A Pathway to Sustainable Agriculture
  • 批准号:
    RGPIN-2017-05769
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.4万
  • 财政年份:
    2020
  • 负责人:
    Farooque, Aitazaz
  • 依托单位:
Development of Precision Agriculture Technologies to Improve Crop Productivity and Mitigate Environmental Risks: A Pathway to Sustainable Agriculture
  • 批准号:
    RGPIN-2017-05769
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.4万
  • 财政年份:
    2019
  • 负责人:
    Farooque, Aitazaz
  • 依托单位:
国内基金
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  • 批准号:
    81801419
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    22.0万元
  • 批准年份:
    2018
  • 负责人:
    吕晓
  • 依托单位:
含有wild attractor区间映射存在性和随机稳定性的研究
  • 批准号:
    11501001
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    18.0万元
  • 批准年份:
    2015
  • 负责人:
    王麒翰
  • 依托单位: