Vesca
Vesca
批准号:
EP/R005583/1
负责人:
Mark Else
金额:
$15.21万
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2017
资助国家:
英国
项目状态:
已结题
起止时间:
2017 至 --
关键词:
中文摘要
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英文摘要
Strawberry harvesting is a labour intensive task that depends critically on the availability of a large amount of low-cost labour. Growers are increasingly vulnerable to labour market price fluctuations and burdened by high employment overheads. Building on Dogtooth's proof of concept strawberry picking robot (developed during Innovate UK project Ananassa), project Vesca will deliver commercially viable picking performance using cutting edge machine learning and computer vision techniques to facilitate more efficient localization of target fruit (by more nearly optimal control of robot motion) and more accurate determination of suitability for picking. The project will also provide ancillary benefits such as yield mapping and prediction that are of significant importance to growers.
期刊论文(1)
专著(0)
科研奖励(0)
会议论文
DOI:
10.1186/s13007-017-0243-x
发表时间:
2017
期刊:
Plant methods
影响因子:
5.1
作者:
[He JQ, Harrison RJ, Li B]
通讯作者:
Li B
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资助金额:$7.39万
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财政年份:2016
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