Solar Powered Auto Irrigation Monitoring System with Plant Health Indication Using Image Processing

This project aims to develop a solar powered auto irrigation system that incorporates image processing techniques to monitor and maintain the health of the plants. The system utilizes solar energy to power the irrigation process, making it environmentally friendly and cost-effective. Image processing algorithms are employed to analyze the visual characteristics of the plants and detect any signs of distress or disease. This information is then used to automatically adjust the irrigation schedule and provide necessary nutrients to ensure optimal plant health. Furthermore, the system integrates image processing techniques to analyze the health of the plants. Images of the plants are captured using a camera module and processed to detect any signs of diseases or abnormalities. The system then provides real-time feedback on the plant health status. Through the implementation of this project, the efficiency and effectiveness of irrigation systems can be improved, leading to better crop yields and reduced water usage.