000			02933nam a22003017a 4500
003			OSt
005			20260610144440.0
008			260610b |||||||| |||| 00| 0 eng d
040			_bEnglish _cTUPM _dTUPM _erda
100			_aCabatuando, Alwyn Kylle Q. _eAuthor
245			_aDevelopment of IOT-Based Indoor Plant Growth Optimization System/ _cAlwyn Kylle Q. Cabatuando. Kervy P. De Leon, Stephen Hiroshi M. Koizumi, and Jomarie Carl Pantin..-
260			_aManila: _bTechnological University of the Philippines, _c2024.
300			_axii, 141pages: _c29cm.
336			_2rdacontent
337			_2rdamedia
338			_2rdacarrier
500			_aBachelor's Thesis
502			_aCollege of Industrial Technology..- _bBachelor of Engineering Technology major in Computer Engineering Technology: _cTechnological University of the Philippines, _d2024.
504			_aIncludes bibliographic references and index.
520			_aThe integration of technology with traditional gardening practices has led to the development of smart plant pots, offering an advanced approach to plant care. Traditional methods of plant monitoring often rely on visual cues which can be subjective and lead to under or over-care. The development of an IoT-based Indoor Plant Growth Optimization System is designed to monitor the Plant’s health and environmental status. The development of an IoT-based Indoor Plant Growth Optimization System is equipped with various sensors and features. The core components include a microprocessor, temperature sensor, soil moisture sensor, light sensor, humidity sensor, pH level sensor, light system, and self-watering mechanism. The microprocessor serves as the brain of the device and a Wi-Fi module that interacts with a mobile device that sends data to the user for analysis and to have a result. A mobile application that interprets the data sent by the microprocessor, shows the everyday record of the plant status that can be stored in the database. The history of everyday data is shown in the mobile application for better monitoring and transcript of records. Through the integration of the components and capabilities, the IoT-based Indoor Plant Growth Optimization System empowers users to effectively monitor and manage plant health, optimizing conditions, and reducing the risk associated with improper care. A data-driven approach to plant care enables users to make an informed decision based on objective information. It aims to highlight the potential benefits of the device and its significant contribution to the environment. Keywords: plant monitoring, sensors, microprocessor, mobile application, data-driven
650			_aEngineering Technology
650			_aPlant Monitoring
650			_aMicroprocessor
700			_aDe Leon, Kervy P. _eAuthor
700			_aKoizumi, Stephen Hisroshi M. _eAuthor
700			_aPantin, Carl Jomarie _eAuthor
942			_2lcc _cBTH CIT _n0
999			_c31492 _d31491