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An AI life cycle assessment toward a sustainable food supply chain

Amin Nikkhah (UGent) , Tanja Cirkovic Velickovic (UGent) and Sam Van Haute (UGent)
(2021) Nature conference : waste management and valorisation for a sustainable future.
Author
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Abstract
Optimization of resource allocation in agri-food sector, in order to find the most appropriate mix of inputs, could contribute to mitigation of environmental impacts, reduction of agricultural and food wastes, and moving toward a more circular food supply chain. Life cycle assessment (LCA) has been coupled with several artificial intelligent-based optimization techniques in order to optimize food systems in terms of environmental impacts. One important step in an optimization problem of a food system is to determine the bounds for the optimization variable. This study developed an optimization bound determination scheme through application of Delphi methodology. A hybrid LCA + multilayer perception artificial neural network + Delphi methodology + genetic algorithm was applied to optimize a food production system. Five functional units were considered for this study: one ton of produced pomegranate, one hectare, daily energy intake, vitamin C, and dietary fibre for 1 person. The results indicated that a remarkable amount of environmental impacts could be mitigated using this approach in a case study of pomegranate production.
Keywords
Artificial intelligence, Environmental impacts, Food system, Sustainable food

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MLA
Nikkhah, Amin, et al. “An AI Life Cycle Assessment toward a Sustainable Food Supply Chain.” Nature Conference : Waste Management and Valorisation for a Sustainable Future, 2021.
APA
Nikkhah, A., Cirkovic Velickovic, T., & Van Haute, S. (2021). An AI life cycle assessment toward a sustainable food supply chain. Nature Conference : Waste Management and Valorisation for a Sustainable Future. Presented at the Nature Conference: Waste Management and Valorisation for a Sustainable Future, Seoul, South Korea.
Chicago author-date
Nikkhah, Amin, Tanja Cirkovic Velickovic, and Sam Van Haute. 2021. “An AI Life Cycle Assessment toward a Sustainable Food Supply Chain.” In Nature Conference : Waste Management and Valorisation for a Sustainable Future.
Chicago author-date (all authors)
Nikkhah, Amin, Tanja Cirkovic Velickovic, and Sam Van Haute. 2021. “An AI Life Cycle Assessment toward a Sustainable Food Supply Chain.” In Nature Conference : Waste Management and Valorisation for a Sustainable Future.
Vancouver
1.
Nikkhah A, Cirkovic Velickovic T, Van Haute S. An AI life cycle assessment toward a sustainable food supply chain. In: Nature conference : waste management and valorisation for a sustainable future. 2021.
IEEE
[1]
A. Nikkhah, T. Cirkovic Velickovic, and S. Van Haute, “An AI life cycle assessment toward a sustainable food supply chain,” in Nature conference : waste management and valorisation for a sustainable future, Seoul, South Korea, 2021.
@inproceedings{8749784,
  abstract     = {{Optimization of resource allocation in agri-food sector, in order to find the most appropriate mix of inputs, could contribute to mitigation of environmental impacts, reduction of agricultural and food wastes, and moving toward a more circular food supply chain. Life cycle assessment (LCA) has been coupled with several artificial intelligent-based optimization techniques in order to optimize food systems in terms of environmental impacts. One important step in an optimization problem of a food system is to determine the bounds for the optimization variable. This study developed an optimization bound determination scheme through application of Delphi methodology. A hybrid LCA + multilayer perception artificial neural network + Delphi methodology + genetic algorithm was applied to optimize a food production system. Five functional units were considered for this study: one ton of produced pomegranate, one hectare, daily energy intake, vitamin C, and dietary fibre for 1 person. The results indicated that a remarkable amount of environmental impacts could be mitigated using this approach in a case study of pomegranate production.}},
  author       = {{Nikkhah, Amin and Cirkovic Velickovic, Tanja and Van Haute, Sam}},
  booktitle    = {{Nature conference : waste management and valorisation for a sustainable future}},
  keywords     = {{Artificial intelligence,Environmental impacts,Food system,Sustainable food}},
  language     = {{eng}},
  location     = {{Seoul, South Korea}},
  title        = {{An AI life cycle assessment toward a sustainable food supply chain}},
  url          = {{https://www.nature-conference.co.kr/}},
  year         = {{2021}},
}