Development of an iot-based integrated incubation system for marine turtle eggs/

Alsado, Jhon Michael B.

Development of an iot-based integrated incubation system for marine turtle eggs/ Jhon Michael B. Alsado, Camille A. Cabusora, Aliah P. Dela Cruz, Kimberly Mae N. Prudencio, and Jahnn Patrick F. Yanga.-- - Manila: Technological University of the Philippines, 2025. - xii, 97pages: 29cm.

Bachelor's thesis


College Of Industrial Technology.--


Includes bibliographic references and index.

The incubation phase is one of the most vulnerable stages in a marine turtle's life cycle, as
eggs laid in sandy environments are highly susceptible to predators, environmental
changes, and human disturbances. This study presents an automated turtle egg incubation
system designed to provide an optimal and controlled environment for successful hatching.
The system consists of three primary components, which include a display section, control
buttons, and an incubation chamber. It is powered by an ESP32 microcontroller, which
manages various sensors and a 4-channel relay module to regulate temperature and
humidity. An OLED display provides real-time monitoring, while a mobile application
allows users to remotely track and control the system, ensuring precise incubation
conditions. Several types of sands were tested to evaluate if there’s going to be a difference
based on factors such as time and weather. The experimental result shows that the soil
moisture level of the plant soil dropped to 45% during the dry midday and has a level of
75% when it is moist. Beach sand’s moisture level dropped to 40% during nighttime to
early morning and has a level of 70% during the day. For the silty soil, its moisture level
shows that it dropped to 40% during the nighttime and early morning hours and has 70%
during day daytime. Testing results showed that the turtle egg incubator successfully
maintained stable environmental conditions within the specified thresholds for sand
moisture, temperature, and humidity. The respondents evaluated the prototype as
“excellent” across the given criteria with an overall mean of x̄ = 4.52. The findings of this
research indicate that the method not only improves the chances that marine turtle eggs
will survive but also provides useful information for continued study and conservation
initiatives. Future enhancements should focus on improving automation, enhancing
structural durability, and adapting to various environmental conditions to maximize the
system’s effectiveness.


Marine turtle conservation
IoT-based incubation
Automated monitoring

BTH TK 870 / A47 2025



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