Food and Water Systems in the Intelligent Age 2024

Endnotes 1. UNESCO. (2024). Food security, a key driver of peace and prosperity. https://www.unesco.org/reports/wwdr/en/2024/agriculture . 2. World Economic Forum. (2024). Quantifying the Impact of Climate Change on Human Health . https://www.weforum.org/publications/quantifying-the-impact-of-climate-change-on-human-health/ . 3. Wang, X. (2022). Managing land carrying capacity: Key to achieving sustainable production systems for food security.  Land , vol. 11, no. 4, pp.484. https://www.mdpi.com/2073-445X/11/4/484/ . 4. Global Commission on the Economics of Water. (2024). The Economics of Water: Valuing the Hydrological Cycle as a Global Common Good. https://economicsofwater.watercommission.org/ . 5. World Economic Forum. (2023). Building a resilient future: The power of data and AI for food and water security. https:// www.weforum.org/agenda/2023/10/building-a-resilient-future-the-power-of-data-and-ai-in-food-and-water-security/ . 6. Ibid. 7. Microsoft AI First Movers. (n.d.). Data-driven farming. https://www.microsoft.com/en-in/aifirstmovers/adt . 8. CGIAR. (2024). Digital Twin of the Limpopo Basin advances with new prototype. https://www.cgiar.org/news-events/news/ digital-twin-of-the-limpopo-basin-advances-with-new-prototype/ . 9. Fox, M. (2024). Everything Isn’t Pura Vida in Costa Rica. Sierra. https://www.sierraclub.org/sierra/everything-isn-t-pura-vida-costa-rica . 10. Ibid. 11. ResearchGate. (n.d.). Number of banana farms and planted hectares by province in Costa Rica, 2014. https://www.researchgate.net/figure/Number-of-banana-farms-and-planted-hectares-by-province-in-Costa-Rica-2014_ tbl1_335150152 . 12. Corbana. (n.d.). Banano de Costa Rica. https://www.corbana.co.cr/banano-de-costa-rica-2/ . 13. Climate Change Knowledge Portal. (n.d.). Costa Rica. https://climateknowledgeportal.worldbank.org/country/costa-rica/ trends-variability-historical . 14. Ibid. 15. Carnahan, E. et al. (2024). Root causes of COVID-19 data backlogs: a mixed methods analysis in four African countries.  Oxford Open Digital Health , vol. 2, issue 1, pp. i16-i28. https://academic.oup.com/oodh/article/2/ Supplement_1/i16/7663968 . 16. Oliveira, F., Costa, D.G., Assis, F. & Silva, I. (2024). Internet of Intelligent Things: A convergence of embedded systems, edge computing and machine learning.  Internet of Things , vol. 26, pp.101153. https://www.sciencedirect.com/science/ article/pii/S2542660524000945 . 17. Baganzi, S. & Romel, M. (2024). Towards Ubiquitous Broadband Access: Policy Imperatives for Developing Next-Generation Non-Terrestrial Networks. Econstor . https://www.econstor.eu/bitstream/10419/302531/1/ITS-Seoul-2024-paper-139.pdf . 18. Wnęk, K. and Boryło, P . (2023). A data processing and distribution system based on apache NiFi. Photonics , Vol. 10, No. 2, pp. 210. https://www.mdpi.com/2304-6732/10/2/210 . 19. Cheruku, S.R., Goel, O. & Jain, S. (2024). A Comparative Study of ETL Tools: DataStage vs. Talend.  Journal of Quantum Science and Technology , vol.1, no. 1, pp. 80-90. https://www.researchgate.net/publication/383536496_A_Comparative_ Study_of_ETL_Tools_DataStage_vs_Talend . 20. Foidl, H., Golendukhina, V., Ramler, R. & Felderer, M. (2024). Data pipeline quality: Influencing factors, root causes of data-related issues, and processing problem areas for developers.  Journal of Systems and Software , vol. 207, pp. 111855. https://www.sciencedirect.com/science/article/pii/S0164121223002509 . 21. Wittig, A. and Wittig, M. (2023).  Amazon Web Services in Action: An in-depth guide to AWS . Simon and Schuster. 22. Microsoft AI Skills Challenge. (n.d.). How does Azure work?. https://learn.microsoft.com/en-us/azure/cloud-adoption- framework/get-started/what-is-azure . 23. Google Cloud. (n.d.). Google Cloud overview . https://cloud.google.com/docs/overview . 24. Villarreal, V. et al. (2024). A methodological approach for data standardization and management of Open Data portals for scientific research groups: a case study on mobile and ubiquitous ecosystems.  Frontiers in Computer Science , vol. 6, pp. 1420709. https://www.frontiersin.org/journals/computer-science/articles/10.3389/fcomp.2024.1420709/full . 25. Aldoseri, A. Al-Khalifa, K.N. & Hamouda, A.M. (2023). Re-thinking data strategy and integration for artificial intelligence: concepts, opportunities, and challenges.  Applied Sciences , 13(12), pp.7082. https://www.mdpi.com/2076-3417/13/12/7082 . 26. Ferrara, E. (2023). Fairness and bias in artificial intelligence: A brief survey of sources, impacts, and mitigation strategies.  Sci, vol. 6, no. 1, pp.3. https://www.mdpi.com/2413-4155/6/1/3 . Food and Water Systems in the Intelligent Age 22