Robotic application to improve the oxygen level in shrimp farming ponds

Authors

  • Bryan-Wilfrido Macías-Alcívar Universidad Laica Eloy Alfaro de Manabí image/svg+xml Author
    • Investigation
    • Methodology
    • Writing – Original Draft Preparation
  • Robin-Sebastián Domínguez-Parraga Universidad Laica Eloy Alfaro de Manabí image/svg+xml Author
    • Methodology
    • Supervision
    • Validation
    • Writing – Original Draft Preparation
  • Angel-Cristian Mera-Macias Universidad Laica Eloy Alfaro de Manabí image/svg+xml Author
    • Formal Analysis
    • Methodology
    • Project Administration
    • Writing – Review & Editing

DOI:

https://doi.org/10.46480/esj.11.1.319

Keywords:

aquaculture, dissolved oxygen, internet of things, robotics, arduino

Abstract

Context: Shrimp aquaculture critically depends on dissolved oxygen (DO) levels, as concentrations below 3 mg/l cause production stress, and levels under 1 mg/l result in mortality. Method: Given the reliance on manual monitoring, this project developed an Internet of Things (IoT)-based autonomous surface vehicle (catamaran type) to monitor and improve oxygenation in shrimp ponds in Manabí, Ecuador. The prototype integrates an Arduino Mega 2560, an Atlas Scientific EZO DO sensor, and WiFi ESP8266 and Bluetooth modules. The architecture is structured into three phases (supervision, transmission, and movement), managed by a Raspberry Pi 3 and a Pixhawk PX4 controller. Data is centralized in a MySQL database and visualized via Grafana. Results: Tests validated the system's effectiveness, achieving precise readings of 10.2 mg/l, well within the operating range (4–14 mg/l). Conclusions: This solution eliminates the need for constant human presence, optimizing the monitoring of the aquatic environment. It is concluded that this technological proposal is technically viable for the regional aquaculture sector.

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Author Biographies

  • Bryan-Wilfrido Macías-Alcívar, Universidad Laica Eloy Alfaro de Manabí

    Universidad Laica Eloy Alfaro de Manabí, ULEAM

  • Robin-Sebastián Domínguez-Parraga, Universidad Laica Eloy Alfaro de Manabí

    Universidad Técnica de Manabí, UTM

  • Angel-Cristian Mera-Macias, Universidad Laica Eloy Alfaro de Manabí

    Universidad Laica Eloy Alfaro de Manabí, ULEAM

References

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Published

2026-11-30

Issue

Section

Research Paper

How to Cite

[1]
B.-W. Macías-Alcívar, R.-S. Domínguez-Parraga, and A.-C. Mera-Macias, “Robotic application to improve the oxygen level in shrimp farming ponds”, Ecuad. Sci. J, vol. 11, no. 1, pp. 29–34, Nov. 2026, doi: 10.46480/esj.11.1.319.

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