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

CropDoc寻求在精准农业、农业数字化和决策管理支持领域利用现有的马铃薯病害识别和暴发管理研究。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洞察力，用于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作物病害之一。在一个典型的枯萎病压力季节，作物保护化学品每年估计要花费全球农业100至200亿美元。晚疫病一直被称为“社区疾病”，因为它能够在适当的天气条件下在田地之间迅速传播。当天气凉爽潮湿时，无性孢子很容易在风中传播，并能迅速感染邻近的田地。因此，了解疾病的症状以及在检测到它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。

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.