Integrating Visual and Context Information into a Mobile Intelligence Solution for Sustainable Management of Wheat Pests and Soil Health

英国小麦病虫害的可持续管理和土壤健康的维护已成为英国高度优先的农业问题。该项目将研究将视觉和上下文信息与先进的数据融合技术整合到移动病虫害管理解决方案中的技术可行性，该解决方案提供：通过移动设备快速检测和量化小麦病虫害；有效预测可接受的有害生物阈值，以便进行可持续管理；对一种杀虫剂防治害虫的相应功效的估计。该项目将由谢菲尔德大学领导，并建立在现有技术、数据资源和平台的基础上。

Sustainable management of UK wheat pests and maintenance of soil health have become a high-priority agricultural issue in the UK. This project will investigate the technical feasibility of integrating visual and contextual information with advanced data fusion techniques into a mobile pest management solution that offers: rapid detection and quantification of wheat pest by mobile devices; efficient forecasting of accepted pest thresholds for sustainable management; estimation of the corresponding efficacy of a pesticide for pest control. The project will be led by University of Sheffield, and build on existing technologies, data resources and platforms from previous projects within the consortium.