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Big data for agri-food 4.0: Application to sustainability management for by-products supply chain

农业食品大数据4.0:副产品供应链可持续性管理应用

关键词:
来源:
Computers in Industry
全文链接1:
http://agri.ckcest.cn/topic/downloadFile/8dc5e83b-e400-411d-aa89-84cdf78260a2
全文链接2:
类型:
学术文献
语种:
英语
原文发布日期:
2019-10-01
摘要:
The bioconversion of lignocellulosic biomass is a promising method for the production of bio-energy, biomolecules and biomaterials. Pretreatment of the lignocellulosic biomass is an essential step in this process. The choice of pretreatment process is a difficult one, and there are currently no clear criteria on which to base this choice. This project, with its sustainability and agri-food perspective, used environmental impacts to assess the various processes and their panels of technologies. The approach developed integrates big data, to improve sustainability management in supply chain design, with the aim of valorising agricultural waste. In five main steps, this approach combines concepts from industry 4.0, sustainability and the agri-food industry. We apply this approach to a case study in the domain of agricultural waste valorisation: the pretreatment of lignocellulosic biomass in the rice supply chain.
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