Benchmark Scenario Planning in Primary Production: Creating Sustainable Change ( hub to spoke)

初级生产中的基准情景规划：创造可持续变革（从中心到辐射）

• 批准号: 102534
• 金额: $ 74.42万
• 依托单位: SYNGENTA LIMITED
• 依托单位国家: 英国
• 项目类别: BEIS-Funded Programmes
• 财政年份: 2016
• 资助国家: 英国
• 起止时间: 2016 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=102534
• 关键词: Benchmark; Scenario; Planning; Primary; Production

Across the world we face growing issues of food security and nutrition. Agri-science is one of the eight great technologies where the UK can link research strength to practical application to farming practices and the food industry.This project focuses on improving outcomes in primary production, and hence food security, by using advanced technologies to facilitate efficiency benchmarking for both productivity and environmental performance. The hypothesis we will investigate is that historic data patterns can be used to support farmers’ decision making, a positive impact on global food security in a sustainable way. High resolution data measurements will be evaluated in large scale and smallholder agriculture at locations in Zambia and the UK. Syngenta, AGCO, the University of Aberystwyth and the University of Southampton are working with other academic and international development organisations to deliver the project.

在世界各地，我们面临着日益严重的粮食安全和营养问题。农业科学是英国可以将研究力量与农业实践和食品工业的实际应用联系起来的八大技术之一。该项目侧重于通过使用先进技术促进生产力和环境绩效的效率基准来提高初级生产的成果，从而提高粮食安全。我们将研究的假设是，历史数据模式可以用来支持农民的决策，以可持续的方式对全球粮食安全产生积极影响。将在赞比亚和联合王国的大规模和小农农业中评估高分辨率数据测量。先正达、爱科、阿伯里斯特威斯大学和南安普顿大学正与其他学术和国际发展组织合作实施该项目。