Description:
Abstract: In recent years, there has been a growing interest in hydroponic systems as a means of growing crops in controlled environments. However, traditional hydroponic systems require manual monitoring and adjustment of various parameters, such as light, temperature, and nutrient levels, to maintain optimal plant growth conditions. In this paper, we propose an IoT-based smart hydroponic system equipped solar module for backup that automates the monitoring and control of these parameters to improve the efficiency and success rate of hydroponic crop production. The proposed system incorporates an image processing component that uses a camera to monitor the health of the plants and detect any signs of stress or disease. The images are processed using computer vision algorithms to extract relevant features, such as the color and texture of the leaves, which are used to determine the plant's overall health.