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Quantification of the productive potential and resource efficiency of different urban agricultural methods using Internet of Things data acquisition..

使用物联网数据采集量化不同城市农业方法的生产潜力和资源效率。

基本信息

批准号：
2295907
负责人：
金额：
--
依托单位：
University of Sheffield
依托单位国家：
英国
项目类别：
Studentship
财政年份：
2019
资助国家：
英国
起止时间：
2019 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=studentship-2295907
关键词：
Quantification productive potential resource efficiency

项目摘要

The resilience of the UK's food supply is threatened by environmental (e.g. climate change and soil degradation), political (e.g. BREXIT) and economic (e.g. high fertiliser prices) challenges. Urban agriculture (UA), ranging from own-growing and market gardening to high-tech soil free aquaponics and hydroponic systems, is increasingly recognised by policy-makers as an important contributor to sustainable food security, but key knowledge-gaps remain that may limit potential benefits and uptake: 1. How much of our need might be met from urban growing? 2. Which agricultural methods are most appropriate to urban contexts? 3. How sustainable are the different forms of urban growing? This PhD will provide a quantified model of urban food production and its potential future contribution to our supply chains. We will use low power networked Internet of Things devices to supplement an existing web-based knowledge co-production system (EP/N030095/1), in combination with high-resolution spatial datasets (mapping green- and built-infrastructure) to show how much agricultural output is possible in our cities. We will combine this information with life cycle analysis data to create a model of the resource efficiency of different forms of UA both in soil within green infrastructure, and soil-free, utilising existing built infrastructure.

英国粮食供应的弹性受到环境（如气候变化和土壤退化）、政治（如英国脱欧）和经济（如化肥价格高企）挑战的威胁。城市农业（UA），从自己种植和市场园艺到高科技无土水培系统和水培系统，越来越多地被政策制定者认为是可持续粮食安全的重要贡献者，但关键的知识差距仍然存在，可能会限制潜在的利益和吸收：1。我们的需求有多少可以从城市的发展中得到满足？2.哪种农业方法最适合城市环境？3.不同形式的城市增长有多可持续？该博士学位将提供城市食品生产的量化模型及其对我们供应链的潜在未来贡献。我们将使用低功耗的物联网设备来补充现有的基于网络的知识共同生产系统（EP/N 030095/1），并结合高分辨率的空间数据集（绘制绿色和建筑基础设施）来显示我们城市的农业产量。我们将联合收割机结合这些信息与生命周期分析数据，创建一个模型，利用现有的已建基础设施，在土壤中的绿色基础设施，和无土壤的不同形式的UA的资源效率。