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Automated vineyard yield estimation using computer vision

Automated vineyard yield estimation using computer vision
使用计算机视觉自动估算葡萄园产量
批准号:
452538-2013
负责人:
Najjaran, Homayoun
金额:
$1.82万
依托单位国家:
加拿大
项目类别:
Engage Grants Program
财政年份:
2013
资助国家:
加拿大
项目状态:
已结题
起止时间:
2013-01-01 至 2014-12-31

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英文摘要
Quails' Gate Winery is one of Okanagan's leading producers of premium VQA wines and has a demonstrated history of participating in viticulture research to improve vineyard operations and grape quality. Accurate and reliable early yield estimation is crucial for vineyard managers to make the necessary adjustments to their labors before the harvest. With this information they can improve production and reduce cost. However, having reliable yield estimation is nontrivial as it is subject to several underlying parameters including temporal and climate variations, soil conditions, and pest infestation. Current industry practices rely mainly on manual random sampling from selected vineyards during the growing season and extrapolate the sample measurements to the entire vineyard. Quails' Gate has been interested in the use of technology to improve grape quality and production while reducing the resources required to farm and harvest each acre of land. The existing manual sampling practice cannot meet the industry demand, and the need for an automated and fast alternative
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