Precision Crop Disease Management for Farm Productivity & Food Security - CropDoc

精准作物病害管理提高农场生产力

• 批准号: 104903
• 金额: $ 53.72万
• 依托单位: NQUIRINGMINDS LIMITED
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2019
• 资助国家: 英国
• 起止时间: 2019 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=104903
• 关键词: Precision; Crop; Disease; Management; Farm

CropDoc seeks to exploit existing research on Potato disease identification & outbreak management in the domain of precision agriculture, agriculture digitisation & decision management support. It will harness cutting-edge technologies (i.e. IoT, mobile devices, crowd sourced data, big data analytics and cloud computing). It will build a decision support system that generates insight from multiple data collected from remote sensing above the fields and IoT ground sensing within the fields for monitoring & prediction of disease in real time. The initial focus will be on potato late blight disease, one of the most devastating crop diseases in China. In a typical blight pressure season crop protection chemicals cost the global industry an estimated $10-20bn per annum. Late blight has been referred to as a ‘community disease’, due to its ability to spread rapidly from field to field under the right weather conditions. Asexual spores travel easily on the wind when the weather is cool and moist, and can rapidly infect neighbouring fields. As such, understanding the symptoms of the disease and what to do when it is detected are essential to preventing an outbreak from rapidly turning into an epidemic.

CropDoc 寻求在精准农业、农业数字化和决策管理支持领域利用马铃薯病害识别和疫情管理的现有研究。它将利用尖端技术（即物联网、移动设备、众包数据、大数据分析和云计算）。它将建立一个决策支持系统，从田间遥感和田间物联网地面传感收集的多个数据中生成见解，以实时监测和预测疾病。最初的重点将是马铃薯晚疫病，这是中国最具破坏性的农作物病害之一。在典型的枯萎病压力季节，作物保护化学品每年给全球行业造成 10-200 亿美元的损失。晚疫病被称为“社区疾病”，因为它能够在适当的天气条件下迅速从田地传播到田地。当天气凉爽潮湿时，无性孢子很容易随风传播，并能迅速感染邻近的田地。因此，了解该疾病的症状以及发现该疾病时应采取的措施对于防止疫情迅速演变为流行病至关重要。