Development and evaluation of an IoT-Based Plant monitoring system
dc.contributor.advisor | Silva, ATP | |
dc.contributor.author | Priyadarshani, GDAC | |
dc.date.accept | 2024 | |
dc.date.accessioned | 2025-09-29T05:32:12Z | |
dc.date.issued | 2024 | |
dc.description.abstract | The increasing popularity of indoor and outdoor plant cultivation has led to a growing demand for effective and user-friendly plant care solutions. However, existing methods often rely on manual observation and intervention, resulting in labor- intensive processes and suboptimal plant health outcomes. Concurrently, advancements in Internet of Things (IoT) technology offer promising avenues for revolutionizing plant care practices through real-time monitoring, data analysis, and remote-control capabilities. In response to these challenges, this research proposes the development and evaluation of an IoT-Enhanced Smart Plant Monitoring System, designed to address the need for comprehensive, user-friendly, and sustainable plant care solutions. The proposed system leverages IoT technology to collect and analyze critical environmental data, including soil moisture, light exposure, temperature, and humidity, from both indoor and outdoor plant environments. Utilizing NODEMCU devices and a centralized processing unit, the system offers real-time plant insights, personalized recommendations, and remote care control functionalities. Key features of the proposed system include a user-friendly interface for seamless interaction and accessibility, remote control capabilities via IoT cloud platform, and sustainability considerations to minimize environmental impact. Through a comprehensive review of existing literature, methodology development, and real- world testing, this research seeks to evaluate the effectiveness and usability of the IoT- Enhanced Smart Plant Monitoring System in addressing plant care challenges. Furthermore, implications for future research, industry applications, and societal benefits are discussed, highlighting the potential impact of IoT technology in advancing plant care practices and promoting environmental sustainability. In conclusion, the proposed IoT-Enhanced Smart Plant Monitoring System represents a significant step forward in the realm of plant care technology, offering a holistic and sustainable solution to the challenges faced by plant enthusiasts and horticulturalists. By harnessing the power of IoT technology and data analytics, this innovative system empowers users to make informed decisions, optimize plant health, and foster a deeper connection with nature in both indoor and outdoor settings. | |
dc.identifier.accno | TH5770 | |
dc.identifier.citation | Priyadarshani, G.D.A.C. (2024). Development and evaluation of an IoT-Based Plant monitoring system [Master’s theses, University of Moratuwa]. Institutional Repository University of Moratuwa. https://dl.lib.uom.lk/handle/123/24235 | |
dc.identifier.degree | MSc in Artificial Intelligence | |
dc.identifier.department | Department of Computational Mathematics | |
dc.identifier.faculty | IT | |
dc.identifier.uri | https://dl.lib.uom.lk/handle/123/24235 | |
dc.language.iso | en | |
dc.subject | IoT-BASED PLANT MONITORING SYSTEM | |
dc.subject | SMART MONITORING SYSTEM | |
dc.subject | REMOTE CONTROL | |
dc.subject | PLANTS-Care | |
dc.subject | CLOUD COMPUTING | |
dc.subject | ARTIFICIAL INTELLIGENCE-Dissertation | |
dc.subject | CMPUTATIONAL MATHEMATICS-Dissertation | |
dc.subject | MSc in Artificial Intelligence | |
dc.title | Development and evaluation of an IoT-Based Plant monitoring system | |
dc.type | Thesis-Full-text |
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