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Autonomous SmartTraps for remote monitoring Spotted Wing Drosophila in fruit crops

Autonomous SmartTraps for remote monitoring Spotted Wing Drosophila in fruit crops
用于远程监控水果作物中的斑翅果蝇的自主智能陷阱
批准号:
132745
负责人:
金额:
$61.06万
依托单位国家:
英国
项目类别:
Collaborative R&D
财政年份:
2017
资助国家:
英国
项目状态:
已结题
起止时间:
2017 至 --

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中文摘要
翻译
准确监测虫害对有利可图的农作物和畜牧业生产以及人类健康至关重要,并通过改进干预措施优化虫害管理。该项目将开发一个完整的SmartTraps系统,用于远程自主监控斑点翅果蝇(SWD),这是一种入侵的软果和核果害虫,在全球包括英国在内的大多数产区,软果和核果的生产成本增加了10%。SmartTraps系统将在紧凑、自主、非饱和(节点)陷阱中,通过机器学习图像分析,快速准确地识别被广谱诱饵吸引的无数非目标物种中接近微观的社署男性和女性。来自单个(节点)捕捉器网络的渔获量数据将通过网关站传输到云端,并可在网络和各种移动平台上进行实时的云端数据集成,以帮助调度有害生物的管理处理。该系统中的两个关键核心过程--自动捕获图像和识别图像--的可行性在创新英国项目131787(2016年6月30日完成)中得到了证明,这是科学领域的一项重要技术发展和进步。SmartTraps系统将是害虫特定监测技术的重大进步,在全球范围内广泛应用于众多害虫,使英国处于这项具有巨大国际市场潜力的新突破性技术的领先地位,在农业、健康和环境方面有多种应用。
英文摘要
The accurate monitoring of pests is vital to profitable crop and livestock production and to human health and optimises pest management through improved interventions. This project will develop a full SmartTraps system for remote autonomous monitoring of Spotted Wing Drosophila (SWD), an invasive soft and stone fruit pest that has increased the cost of production of soft and stone fruit by 10% in most production regions globally including in the UK. The SmartTraps system will rapidly and accurately identify the near microscopic SWD males and females amongst a myriad of non-target species attracted by a broad-spectrum lure, by machine learning image analysis in compact, autonomous, non-saturating (node) traps. The catch data from networks of individual (node) traps will be transmitted via gateway stations to the cloud, with real time cloud-based data integration accessible on the web and a variety of mobile platforms as an aid to scheduling management treatments for the pest. The feasibility of two of the key core processes in this system, automatically capturing images and identifying them, was demonstrated in Innovate UK project 131787 (completed 30 June 2016), an important technological development and advancement in science. The SmartTraps system will be a significant advancement in pest specific monitoring technology with wide application for numerous pests globally, establishing the UK at the leading edge of this new ground breaking technology with huge international market potential with diverse applications in agriculture, health and the environment.
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