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Open Access
Issue
ITM Web Conf.
Volume 79, 2025
International Conference on Knowledge Engineering and Information Systems (KEIS-2025)
Article Number 01044
Number of page(s) 7
DOI https://doi.org/10.1051/itmconf/20257901044
Published online 08 October 2025
  1. A. Sheth, M. Gaur, K. Roy, R. Venkataraman, V. Khandelwal, Process knowledge-infused AI: Toward user-level explainability, interpretability, and safety. IEEE Internet Comput. 26, 76–84 (2022). https://doi.org/10.1109/MIC.2022.3182349 [Google Scholar]
  2. S. Smetana, K. Aganovic, V. Heinz, Food supply chains as cyber-physical systems: a path for more sustainable personalized nutrition. Food Eng. 13, 92–103 (2021). https://doi.org/10.1007/s12393-020-09243-y [Google Scholar]
  3. M.K. Senapaty, A. Ray, N. Padhy, IoT-enabled soil nutrient analysis and crop recommendation model for precision agriculture. Comput. 12, 61 (2023). https://doi.org/10.3390/computers12030061 [Google Scholar]
  4. A. Sosa-Holwerda, O.H. Park, K. Albracht-Schulte, S. Niraula, L. Thompson, W. Oldewage-Theron, The role of artificial intelligence in nutrition research: a scoping review. Nutrients 16, 2066 (2024). https://doi.org/10.3390/nu16132066 [Google Scholar]
  5. M. Sguanci, S. Mancin, A. Gazzelloni, O. Diamanti, G. Ferrara, S. Morales Palomares, M. Parozzi, F. Petrelli, G. Cangelosi, The Internet of Things in the nutritional management of patients with chronic neurological cognitive impairment: a scoping review. Healthc. 13, 23 (2024). https://doi.org/10.3390/healthcare13010023 [Google Scholar]
  6. A.D. Sawyer, F. van Lenthe, C.B. Kamphuis, L. Terragni, G. Roos, M.P. Poelman, M. Nicolaou, W. Waterlander, S.K. Djojosoeparto, M. Scheidmeir, A. Neumann-Podczaska, Dynamics of the complex food environment underlying dietary intake in low- income groups: systems map of associations extracted from a systematic umbrella literature review. Int. J. Behav. Nutr. Phys. Act. 18, 96 (2021). https://doi.org/10.1186/s12966-021-01164-1 [Google Scholar]
  7. O. Folorunso, O. Ojo, M. Busari, M. Adebayo, A. Joshua, D. Folorunso, C.O. Ugwunna, O. Olabanjo, O. Olabanjo, Exploring machine learning models for soil nutrient properties prediction: A systematic review. Big Data Cogn. Comput. 7, 113 (2023). https://doi.org/10.3390/bdcc7020113 [Google Scholar]
  8. R. Pérez-Escamilla, E.Y. Jimenez, K.G. Dewey, Responsive feeding recommendations: harmonizing integration into dietary guidelines for infants and young children. Curr. Dev. Nutr. 5, nzab076 (2021). https://doi.org/10.1093/cdn/nzab076 [Google Scholar]
  9. H. Ding, J. Tian, W. Yu, D.I. Wilson, B.R. Young, X. Cui, X. Xin, Z. Wang, W. Li, The application of artificial intelligence and big data in the food industry. Foods 12, 4511 (2023). https://doi.org/10.3390/foods12244511 [Google Scholar]
  10. B. Abu-Salih, M. Al-Qurishi, M. Alweshah, M. Al-Smadi, R. Alfayez, H. Saadeh, Healthcare knowledge graph construction: A systematic review of the state-of-the-art, open issues, and opportunities. J. Big Data 10, 81 (2023). https://doi.org/10.1186/s40537-023-00774-9 [Google Scholar]
  11. U. Ahmed, J.C.W. Lin, G. Srivastava, Y. Djenouri, A nutrient recommendation system for soil fertilization based on evolutionary computation. Comput. Electron. Agric. 189, 106407 (2021). https://doi.org/10.1016/j.compag.2021.106407 [Google Scholar]
  12. H. Zhao, H. Chen, J. Wang, Y. Wang, Cross-view heterogeneous graph contrastive learning method for healthy food recommendation. Comput. 13, 197 (2025). https://doi.org/10.3390/computation13080197 [Google Scholar]
  13. C. Fu, Z. Huang, F. van Harmelen, T. He, X. Jiang, Food4healthKG: Knowledge graphs for food recommendations based on gut microbiota and mental health. Artif. Intell. Med. 145, 102677 (2023). https://doi.org/10.1016/j.artmed.2023.102677 [Google Scholar]
  14. P.M. Lu, Z. Zhang, The model of food nutrition feature modeling and personalized diet recommendation based on the integration of neural networks and K-means clustering. J. Comput. Biol. Med. 5, 1–17 (2025) [Google Scholar]
  15. O. Oyebode, J. Fowles, D. Steeves, R. Orji, Machine learning techniques in adaptive and personalized systems for health and wellness. Int. J. Hum.–Comput. Interact. 39, 1938–1962 (2023). https://doi.org/10.1080/10447318.2022.2089085 [Google Scholar]
  16. Dataset Availability: Food.com - Recipes, FoodIdeas and Videos [Google Scholar]

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