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Using macro environmental data to support long term adaptation, management and mitigation of sustainability and climate change issues within agriculture and supply chains to the UK food retail sector

Using macro environmental data to support long term adaptation, management and mitigation of sustainability and climate change issues within agriculture and supply chains to the UK food retail sector
利用宏观环境数据支持英国食品零售业农业和供应链中可持续性和气候变化问题的长期适应、管理和缓解
批准号:
131527
负责人:
金额:
$16.69万
依托单位国家:
英国
项目类别:
Feasibility Studies
财政年份:
2014
资助国家:
英国
项目状态:
已结题
起止时间:
2014 至 --

项目摘要

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中文摘要
翻译
该项目将利兹大学和格兰瑟姆研究所与BioCarbon Tracker和ESRI UK的商业开发商结合在一起,为塞恩斯伯里公司提供对现场特定的、多参数的环境风险概况的洞察,无论是现在还是未来的预测。风险概况将结合三类数据:关于环境条件的多层地理空间数据;结合作物模型和生产条件(以预测业绩);以及与公司数据(如供应商地点、供应链、采购量)相联系。地理过程模型的输出将按类型和位置指示影响产品质量、可用性或成本的风险,并允许对可持续性和风险进行基于模型的分析。在该项目中,ArcGIS Online将用于与塞恩斯伯里的供应商共享特定地点的调查结果,这些结果将通过种植者的直接经验进行验证。该系统的开发将为塞恩斯伯里及其庞大的供应商网络提供见解,使他们在全球市场上更具竞争力。洞察力最终将为投资决策和合同安排提供信息,以塑造未来的供应链。
英文摘要
This project brings together the University of Leeds and Grantham Institute with commercial developers from BioCarbon Tracker and ESRI UK to provide Sainsbury’s with insights into site-specific, multi-parameter environmental risk profiles, both for now and for future forecasting. Risk profiles will combine three categories of data: multiple layers of geospatial data for environmental conditions; combined with crop models and production conditions (to predict performance); and linked to corporate data (such as supplier locations, supply chains, procurement volumes). Outputs from geoprocess models will indicate risks - by type and location - that affect product quality, availability or cost and allow model-based analysis of sustainability and risk. Within the project, ArcGIS Online will be used to share findings with Sainsbury’s suppliers for specific sites, which will be validated with growers’ direct experiences. The development of this system will provide insights to Sainsbury’s and its vast network of suppliers to make them more competitive in the global market. Insights will ultimately inform investment decisions and contractual arrangements to shape supply chains of the future.
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国内基金
海外基金
密集异构Macro-femto蜂窝网络能效优化关键技术研究
  • 批准号:
    61671096
  • 项目类别:
    面上项目
  • 资助金额:
    60.0万元
  • 批准年份:
    2016
  • 负责人:
    李云
  • 依托单位:
草地牛粪中大型节肢动物及其生态功能研究
  • 批准号:
    30500355
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    25.0万元
  • 批准年份:
    2005
  • 负责人:
    姜世成
  • 依托单位: