课题基金 / 基金详情

Vesca

Vesca
韦斯卡
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:

项目摘要

项目成果

Mark Else的其他基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
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
16AGRITECHCAT5: Using stress pre-conditioning, novel sensors and AMF to improve yields, resilience and sustainability of raspberry production
16AGRITECHCAT5: Tools and Technology for Predicting Tomato Glasshouse Production
13TSB_AgriFood: Developing innovative tools to manage risks associated with improving resource efficiency and fruit quality in substrate soft fruit
Developing a decision support system to improve crop management, yield forecasting and resource use efficiency in UK soft fruit production