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Crowd-Sourced Prediction of Plant Pest and Disease Occurrence using Mobile Apps

Crowd-Sourced Prediction of Plant Pest and Disease Occurrence using Mobile Apps
使用移动应用程序对植物病虫害发生进行众包预测
批准号:
101935
负责人:
金额:
$15.24万
依托单位:
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 --

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中文摘要
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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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