Cited by 22Water Quality Monitoring TechnologiesSmart Agriculture and AIInnovations in Aquaponics and Hydroponics Systems

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Planetary digital twin: a case study in aquaculture

Teixeira, Rafael, Puccinelli, Juliana, de Vargas Guterres, Bruna, Pias, Marcelo Rita, Oliveira, Vinicus Menezes, Botelho, Silvia Silva da Costa, Poersch, Luis, Filho, Nelson Duarte, Janati, Ahmed, Paris, Maxime·2022·Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing

Abstract

Precision agriculture and aquaculture offer a new way of creating a production system that is efficient and eco-friendly with the potential to increase food availability to wider communities across the globe. Digital technologies and applied computing play a crucial role to aid local farmers in better control of production losses. This paper addresses whether it is feasible to deploy a virtual digital replica of aquaculture farms to control essential water quality variables, including temperature, dissolved oxygen (DO), pH, turbidity and ammonia. Traditional IoT systems can offer monitoring capabilities. However, this emerging application requires real-time control-based actuation to intervene in the environment. Often, farmers have limited time to react to any anomalous event. The proposed Planetary Digital Twin employs AI-based control loops to monitor, simulate and optimize aquaculture processes and assets. Preliminary system validation results suggest the approach is feasible in communicating real-time sensor data to a mechanism to detect and control anomalies.

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Crossref · 10.1145/3477314.3508384

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References 11 · Cited by 22

Research works printed but not linked: 4

  1. Shanzhi Chen, Hui Xu, Dake Liu, Bo Hu, and Hucheng Wang. 2014. A Vision of IoT: Applications, Challenges, and Opportunities with Chinas Perspective. IEEE Internet of Things Journal 1 (2014).
  2. Sajjad Hussain Shah and Ilyas Yaqoob. 2016. A Survey: Internet of Things (IOT) Technologies, Applications and Challenges. IEEE International Conference on Smart Energy Grid Engineering (2016).
  3. Dhananjay Singh, Gaurav Tripathi, and Antonio J Jara. 2014. A survey of Internet-of-Things: Future vision, architecture, challenges and services. In 2014 IEEE world forum on Internet of Things (WF-IoT). IEEE, 287--292.
  4. Royal Society. 2020. Digital technology and the planet: Harnessing computing to achieve net zero. The Royal Society, London.

Metadata

Authors
Teixeira, R., Puccinelli, J., de Vargas Guterres, B., Pias, M. R., Oliveira, V. M., Botelho, S. S. D. C., Poersch, L., Filho, N. D., Janati, A., & Paris, M.
Affiliations
  • Universidade Federal do Rio Grande (BR)
  • Federal University of Rio Grande (FURG). Rio Grande - RS. Brazil
  • BIOCEANOR. Sophia Antipolis. France
Venue
Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing
Publisher
ACM
Published
2022-04-25
Pages
191-197
OpenAlex
W4229023717
Cited by
22
References
11
Citations by year
2026: 3 · 2025: 9 · 2024: 7 · 2023: 1 · 2022: 2
FWCI
17.22
Type
conference paper
Language
en
Open access
closed
Locations
ACM Symposium on Applied Computing (publishedVersion)
Funders
European Union?s Horizon 2020 (863034)
Topics
  • Physical Sciences › Environmental Science › Water Science and Technology › Water Quality Monitoring Technologies
  • Life Sciences › Agricultural and Biological Sciences › Plant Science › Smart Agriculture and AI
  • Life Sciences › Agricultural and Biological Sciences › Aquatic Science › Innovations in Aquaponics and Hydroponics Systems
Keywords
digital twin, aquaculture, precision agriculture, water quality monitoring, dissolved oxygen, ammonia, turbidity, pH, real-time control, anomaly detection, Internet of Things

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