Improving efficiency of commercial wild blueberry harvester using precision agriculture technologies

利用精准农业技术提高商业野生蓝莓收割机的效率

• 批准号: 445373-2012
• 负责人: Zaman, Qamar
• 金额: $ 8.7万
• 依托单位: Dalhousie University
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2013
• 资助国家: 加拿大
• 起止时间: 2013-01-01 至 2014-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=535900
• 关键词: Improving; efficiency; commercial; wild; blueberry

The overall objective of the proposed initiative is to develop an automated integrated harvesting system. The system will identify the sources of harvest losses in order to improve berry picking efficiency of the existing wild blueberry harvester. The current commercial wild blueberry harvester experiences 15 to 25% yield loss. By increasing harvesting efficiency of harvester the socio-economic benefit to the Atlantic provinces and Quebec would be substantial as the wild blueberry industry is a major contributor in these regions. Reliable harvesting technologies over the long term should assist with continued industry expansion leading to increased employment opportunities in the production and manufacturing processing sectors. The proposed research will train highly qualified personnel (graduate and undergraduate student and postdoctoral fellow) and the continuing "life long" applied education of producers and industry representatives.

拟议倡议的总体目标是开发自动化综合收获系统。该系统将识别收获损失的来源，以提高现有野生蓝莓收割机的采摘效率。目前商用的野生蓝莓收割机产量损失15%至25%。通过提高收割机的收获效率，大西洋各省和魁北克将获得巨大的社会经济效益，因为野生蓝莓产业是这些地区的主要贡献者。长期可靠的收获技术应有助于工业的持续扩张，从而增加生产和制造加工部门的就业机会。拟议的研究将培养高素质的人才(研究生、本科生和博士后)，并继续对生产者和行业代表进行终身应用教育。