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

将视觉和上下文信息集成到移动智能解决方案中，实现小麦害虫和土壤健康的可持续管理

• 批准号: 10002902
• 金额: $ 17.23万
• 依托单位: UNIVERSITY OF SHEFFIELD
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=10002902
• 关键词: Integrating; Visual; Context; Information; into

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.

英国小麦害虫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背景信息与先进的数据融合技术整合到移动的害虫管理解决方案中的技术可行性，该解决方案提供：通过移动的设备快速检测和量化小麦害虫;有效预测可持续管理的可接受害虫阈值;估计杀虫剂对害虫控制的相应功效。该项目将由谢菲尔德大学领导，并建立在联盟内以前项目的现有技术，数据资源和平台上。