Cabatuando, Alwyn Kylle Q. <br/><br/>
Development of IOT-Based Indoor Plant Growth Optimization System/ 
Alwyn Kylle Q. Cabatuando. Kervy P. De Leon, Stephen Hiroshi M. Koizumi, and Jomarie Carl Pantin..- 
 - Manila:  Technological University of the Philippines,  2024. 
 - xii, 141pages:  29cm. 
<br/><br/> Bachelor's Thesis 
<br/><br/>College of Industrial Technology..- 
<br/><br/>Includes bibliographic references and index. 
<br/><br/> The integration of technology with traditional gardening practices has led to the<br/>development of smart plant pots, offering an advanced approach to plant care. Traditional<br/>methods of plant monitoring often rely on visual cues which can be subjective and lead to<br/>under or over-care. The development of an IoT-based Indoor Plant Growth Optimization<br/>System is designed to monitor the Plant’s health and environmental status. The<br/>development of an IoT-based Indoor Plant Growth Optimization System is equipped with<br/>various sensors and features. The core components include a microprocessor, temperature<br/>sensor, soil moisture sensor, light sensor, humidity sensor, pH level sensor, light system,<br/>and self-watering mechanism. The microprocessor serves as the brain of the device and a<br/>Wi-Fi module that interacts with a mobile device that sends data to the user for analysis<br/>and to have a result. A mobile application that interprets the data sent by the<br/>microprocessor, shows the everyday record of the plant status that can be stored in the<br/>database. The history of everyday data is shown in the mobile application for better<br/>monitoring and transcript of records. Through the integration of the components and<br/>capabilities, the IoT-based Indoor Plant Growth Optimization System empowers users to<br/>effectively monitor and manage plant health, optimizing conditions, and reducing the risk<br/>associated with improper care. A data-driven approach to plant care enables users to make<br/>an informed decision based on objective information. It aims to highlight the potential<br/>benefits of the device and its significant contribution to the environment.<br/>Keywords: plant monitoring, sensors, microprocessor, mobile application, data-driven 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Engineering Technology<br/>Plant Monitoring<br/>Microprocessor