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来源类型 | Journal articles |
规范类型 | 论文 |
DOI | 10.1016/j.oneear.2020.06.007 |
From satellite to supply chain: New approaches connect Earth observation to economic decisions | |
Javier Godar | |
发表日期 | 2020-07-24 |
出版年 | 2020 |
语种 | 英语 |
概述 | How spatial data and machine-learning techniques can connect Earth observation data to conventional economic tools to improve supply chain sustainability. |
摘要 | To help businesses and governments realize more sustainable supply chains, new approaches are using spatial data and machine-learning techniques to connect Earth observation data to conventional economic tools. |
主题 | Economy : Supply chains ; Land : Food and agriculture |
标签 | modelling |
URL | https://www.sei.org/publications/satellite-to-supply-chain/ |
来源智库 | Stockholm Environment Institute (Sweden) |
引用统计 | |
资源类型 | 智库出版物 |
条目标识符 | http://119.78.100.153/handle/2XGU8XDN/525493 |
推荐引用方式 GB/T 7714 | Javier Godar. From satellite to supply chain: New approaches connect Earth observation to economic decisions. 2020. |
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