2020
DOI: 10.1016/j.scitotenv.2020.137871
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Testing the data platforms required for the 21st century food system using an industry ecosystem approach

Abstract: This research determines how large geographical datasets can be integrated with social, economic and environmental conversion factors to provide incisive guidance to companies who wish to improve supply chain practice.• This is achieved by determining the most useful content for specific algorithms that can assess connectivity and impacts of supply chain practices and enhance responsible consumption.• The methods utilised are those familiar to standard geographical analysis of data but it is the emergence of d… Show more

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Cited by 20 publications
(9 citation statements)
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“…The location of food production is of importance to the development of feedstock supply chains from the food and beverage manufacturing industry for BSFL production. This is because connectivity between production, manufacturing, and feedstock supply needs to be localised to achieve the most favourable system outcome [49]. The transport of bulk bio-materials used as feedstocks is favourable for high-value materials with greater nutrient density in bulk transports [50].…”
Section: Resultsmentioning
confidence: 99%
“…The location of food production is of importance to the development of feedstock supply chains from the food and beverage manufacturing industry for BSFL production. This is because connectivity between production, manufacturing, and feedstock supply needs to be localised to achieve the most favourable system outcome [49]. The transport of bulk bio-materials used as feedstocks is favourable for high-value materials with greater nutrient density in bulk transports [50].…”
Section: Resultsmentioning
confidence: 99%
“…The presented experimental studies illustrated that the use of AI and ML methodologies can provide the food supply chain with efficiency and safety, reducing food waste and environment pollution; this is the main target of the data platforms required for food systems [79,80]. Most of the presented work has taken advantage of the recent progress in deep learning and deep neural networks.…”
Section: Discussionmentioning
confidence: 99%
“…Our own research is beginning to identify critical control points that can enhance resilience in food systems 9 . We have only discussed some of the potential future outcomes for the food supply chain based on decisions and policies made today.…”
Section: Discussionmentioning
confidence: 99%