Ultrarapid real-time diagnostic tool of plant disease infection adapted for field deployment

适合现场部署的植物病害感染超快速实时诊断工具

• 批准号: BB/V017284/1
• 负责人: Ian Fisk
• 金额: $ 19.29万
• 依托单位: University of Nottingham
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=BB%2FV017284%2F1
• 关键词: Ultrarapid; real; time; diagnostic; tool

We will develop a rapid non-destructive technology for the detection of plant pathogens and insect damage. Uniquely this approach will simultaneously use a combination of machine vision and volatile biomarkers to diagnose the presence of plant pests, i.e. pathogens and insects, even before extensive damage and loss of plant yield occurs. This will enable faster detection of crop pests allowing farmers and growers to apply crop protection strategies at the correct time which will result in reduced yield loss and less pesticide spraying.

我们将开发一种快速的非破坏性技术来检测植物病原体和昆虫损害。独特的方法将同时使用机器视觉和挥发性生物标志物的结合来诊断植物有害生物的存在，即病原体和昆虫，甚至在发生广泛的损害和植物损失之前。这将使对农作物害虫的检测更快，使农民和种植者能够在正确的时间应用农作物保护策略，从而导致产量损失降低和较少的农药喷涂。