An IoT based automated irrigation system with ai-powered disease detection technique

Abstract

The present invention is related to an IoT-based automated irrigation system with AI-powered disease detection technique. This invention introduces an IoT-based automatic plant watering system aimed at addressing the difficulties of caring for plants remotely, especially when the owner is away. The system uses sensors to track soil moisture levels and the temperature of the surrounding area, transmitting real-time data to the user's device. Furthermore, it employs advanced image processing techniques on edge-computing platforms like the Raspberry Pi to identify potential plant diseases by examining leaves for signs of discoloration, mold, or fungal growth. By utilizing weather data, the system can modify watering schedules based on environmental conditions, promoting water conservation and ensuring optimal plant health. This technology can be applied across various sectors, including agriculture, horticulture, and smart home systems, facilitating efficient remote management of plant health and resource use. The goal of this solution is to encourage sustainable farming practices, boost agricultural productivity, and enhance plant care in both commercial and residential environments.