Enhancing Hydroponic Production: A Review of Plant Growth and Health Monitoring System

High-yield food production can be achieved in a controlled environment with hydroponics, but it's important to maintain ideal plant development conditions. This research study analyses the developments in hydroponic plant growth and health monitoring systems. This study investigates a range of sensor technologies, from conventional environmental parameter sensors to cutting-edge choices such as hyperspectral imaging. This study covers both wired and wireless communication protocols as well as data collection and transmission techniques, and how the Internet of Things (IoT) plays a part in integrating these systems. The study analyses the applications of machine learning algorithms and data analysis approaches for anomaly identification, predictive maintenance, and growth condition optimization. The assessment of these monitoring systems' effects on hydroponic farming highlights the gains in crop yield, quality, and resource efficiency. This research study also outlines the potential of these systems to transform controlled environment agriculture and explore future research in sensor development, data analytics, and AI integration.