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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM50008
Volume:
9 |
6 |
Jun 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
â The Plant Guardian AI project introduces an innovative approach to plant care, leveraging the synergy of Internet of Things sensors, algorithms, and machine learning techniques to create an intelligent gardening system. By developing a smart gardening device capable of real-time plant health monitoring, and personalized care recommendations, this project is set to empower both beginners and experienced home gardeners. The system includes of hardware components such as microcontrollers, sensors, and actuators to collect real-time data on key environmental factors, such as soil moisture, temperature, humidity, and light intensity. The data is then processed and analyzed utilizing machine learning models to detect plant health issues, and predict watering and fertilization requirements, and provide with tailored care recommendations to users. Furthermore, the project offers a user-friendly web application that allows users access to real-time insights, historical trends, and proactive alerts, helping them to make well-informed decisions and take prompt action to ensure optimal plant health.
KEYWORDS
Publication Date
6/16/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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The authors declare no conflict of interest related to this research work.
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