Techno-economic feasibility of a system to measure farm environmental impact towards a Sustainable Intensification Audit & Management System- SIAMS

衡量农场环境影响以实现可持续集约化审计的系统的技术经济可行性

• 批准号: 131538
• 金额: $ 15.78万
• 依托单位: H.L. HUTCHINSON LIMITED
• 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
• 起止时间: 2014 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=131538
• 关键词: Techno; economic; feasibility; system; measure

To measure ‘sustainable intensification’ we must compare crop yield (intensification) & gross margin (economic sustainability) with relevant, quantifiable environmental impact indicators (environmental sustainability). The main environmental indicators farmers should consider are Water Management/Pollution; Greenhouse Gas Emissions & Biodiversity. We propose to develop a system to assimilate, calculate & display this environmental impact data alongside yield, quality & fiscal performance data to create a valuable representation of farm physical, financial & environmental performance on a field by field basis. This feasibility study will look at the potential of utilising data already stored within GateKeeper (a farm data software tool) and several other data sources, combined with new farm scale data in a series of models, fused in a single software system we call SIAMS. These models will help the farm manager & agronomist identify & modify their agronomic inputs avoiding wasteful & potentially harmful applications. Subject to feasibility study results we will then need to develop the data fusion platform & possibly two systems for capturing & analysing localised flora & fauna data. This technology could position UK agriculture at the forefront of precision farming & sustainable intensification.

为了衡量“可持续集约化”，我们必须将作物产量（集约化）和毛利率（经济可持续性）与相关的可量化环境影响指标（环境可持续性）进行比较。农民应该考虑的主要环境指标是水管理/污染;温室气体排放和生物多样性。我们建议开发一个系统来同化，计算和显示这些环境影响数据以及产量，质量和财政绩效数据，以创建一个有价值的农场物理，财务和环境绩效的代表性。这项可行性研究将研究利用已经存储在GateKeeper（一种农场数据软件工具）和其他几个数据源中的数据的潜力，并将这些数据与一系列模型中的新农场规模数据相结合，融合在我们称为SIAMS的单一软件系统中。这些模型将帮助农场经理和农艺师识别和修改他们的农艺投入，避免浪费和潜在的有害应用。根据可行性研究的结果，我们将需要开发数据融合平台，并可能开发两个系统，用于捕获和分析本地植物群和动物群数据。这项技术可以将英国农业置于精准农业和可持续集约化的前沿。