IoT and AI Application for Implementation of Smart Gardening and Irrigation System

Abstract

This thesis presents a smart gardening and irrigation system that utilizes the Internet of Things and artificial intelligence. This system uses innovative technologies to enhance plant maintenance's efficiency and long-term viability. The system integrated a network of sensors and analytics driven by artificial intelligence to monitor environmental conditions and plant health. This technique facilitated precise gardening and disease management. A smartphone application was created for that, which aims to provide gardeners with real-time data and control over their gardening systems. The mobile application was enhanced with user-friendly and intuitive features, making it even easier to use. This innovative technology represents a significant advancement in smart home systems and sustainable living practices. It aims to save water, optimize plant growth, and provide a personalized and intelligent gardening experience. The research provides a concise overview of the design, implementation, and potential impact of this technology, emphasizing its significance in promoting gardening solutions that are visually appealing and ecologically sustainable.