SMART BOTANICA: AI-DRIVEN MULTI-SPECIES PLANT CARE ASSISTANCE AND MANAGEMENT SYSTEM
Mrs. Trupti Gangakhedkar 1, Dharshan Kumar C 2, Nithya Shridhara Bhat 3, Srajan 4, Yashavantha H S 5
1 Assistant Professor, Dept of ISE, East West Institute of Technology, Bengaluru
2,3,4,5 Student, Dept of ISE, East West Institute of Technology, Bengaluru
Abstract - 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.
Key Words: Python, Tkinter-GUI, Arduino MEGA 2560, Open CV, Scikit-learn, PySerail, MySQL, DHT 22, NPK Sensor, IR Sensor, Moisture Sensor.
