Crowd-Sourced Prediction of Plant Pest and Disease Occurrence using Mobile Apps
Crowd-Sourced Prediction of Plant Pest and Disease Occurrence using Mobile Apps
批准号:
101935
负责人:
金额:
$15.24万
依托单位国家:
英国
项目类别:
Collaborative R&D
财政年份:
2014
资助国家:
英国
项目状态:
已结题
起止时间:
2014 至 --
中文摘要
Growing Interactive生产领先的在线软件和应用程序,园丁和小型农场使用这些软件和应用程序来规划他们种植的可食用作物,并获得更高水平的成功。超过25万园丁和农民使用了我们的软件和应用程序。我们拥有大量基于位置的信息,包括园丁在其所在地区种植的作物、品种和数量,我们正在扩大记录范围,包括对农作物病虫害的过时观测。该项目将统计分析我们应用程序中记录的众包病虫害观测,并结合气象信息开发更准确的预测系统,以及创新的可视化,以帮助预测农作物上的病虫害发生。然后,可以使用气象信息和天气预报为种植者提供针对其所在地区的当前生长季的显著改进的虫害预测。这些将构成为我们的客户、园艺业和农业提供新服务的基础,帮助种植者减少因植物病虫害造成的损失。
英文摘要
Growing Interactive produces the leading online software and apps that gardeners and small-scale farms use to plan the edible crops they grow and achieve increased levels of success. Over ¼ million gardeners and farmers have used our software and apps. We hold a wealth of location-based information on which crops, varieties and quantities gardeners are growing in their location and we are extending the recording to include dated observations of pests and diseases on crops.This project will statistically analyse the crowd-sourced pest and disease observations recorded in our apps in conjunction with meteorological information to develop much more accurate predictive systems along with innovative visualisations to help predict pest and disease emergence on crops. Meteorological information and weather forecasts can then be used to provide significantly improved pest prediction for growers for the current growing season specific to their location. These will form the basis of new services for our customers, the horticultural industry and agriculture, helping growers to reduce losses due to plant pests and diseases.
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