Date of Publication

4-12-2025

Document Type

Bachelor's Thesis

Degree Name

Bachelor of Science in Manufacturing Eng'g & Mgt w/ Specialization in Mechatronics & Robotics Eng'g

Subject Categories

Biomedical Engineering and Bioengineering

College

Gokongwei College of Engineering

Department/Unit

Manufacturing Engineering and Management

Thesis Advisor

Dr. Andres Philip Mayol

Mr. Richard Josiah Tan Ai

Defense Panel Chair

Dr. Ronnie Concepcion II

Defense Panel Member

Br. Cyrill Escolano

Dr. Marielet Guillermo

Abstract (English)

Water pollution, fertilizer runoff, and climate change all pose difficulties to the global food chain, putting food security at risk. Microalgae cultivation innovations started incorporating Internet of Things (IoT) and Artificial Intelligence (AI) to improve the overall production and quality of the algae. Microalgae farming requires specific parameters, which are light, temperature, pH, and electrical conductivity, to ensure its condition is still healthy. Moreover, these parameters must be precise and accurate in collecting the data to ensure biomass productivity, that is why artificial intelligence is also a part of the implementation. The designed photobioreactor aims to aid in the cultivation of Spirulina (Arthospira platensis) in a controlled environment through the integration of sensors using an IoT framework. This paper will also mention the implementation of the IoT, specific purposes of each parameter and the procedure of algae cultivation, and lastly the overall effectiveness and efficiency of the system by assessing the biomass concentration and analyzing the optical density data gathered by the sensors.

Keywords — Microalgae cultivation, Spirulina (Arthrospira platensis), Biomass concentration, Internet of Things (IoT), Artificial Intelligence (AI)

Abstract Format

html

Abstract (Filipino)

None

Abstract Format

html

Language

English

Format

Electronic

Keywords

Microalgae; Bioreactors

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Embargo Period

4-12-2026

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