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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM39774
Volume:
8 |
12 |
Dec 2024
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.
Smart Botanica represents an innovative system that harnesses artificial intelligence and the Internet of Things to transform the management of plant care. By merging cutting-edge technologies with intuitive user interfaces, this project utilizes a blend of IoT sensors, AI algorithms, and real-time data analytics to track essential factors such as soil moisture, nutrient content, and overall plant health. The system features AI-driven image recognition capabilities to identify plant diseases and pest issues, offering precise diagnoses along with actionable treatment suggestions. Among the notable features of Smart Botanica are automated irrigation, disease forecasting, resource optimization, and comprehensive health reporting. Its modular architecture allows for scalability, making it suitable for both small home gardens and extensive agricultural operations. The user-friendly interface promotes interaction, enabling users to monitor plant conditions, obtain care recommendations, and create performance reports. Furthermore, the system includes an AI-powered query-handling module that enhances user engagement and facilitates knowledge exchange. By integrating automation, accuracy, and sustainability, Smart Botanica effectively tackles contemporary challenges in plant care, including resource inefficiency, slow disease identification, and the knowledge gap among users. This document outlines the system’s architecture, methodology, and testing outcomes, illustrating its capacity to revolutionize plant management practices and foster sustainable agricultural methods.
KEYWORDS
Publication Date
12/16/2024
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
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