Smart Nutrient Management in Hydroponics: IoT-Driven Optimization for Enhanced Crop Yield and Resource Efficiency

Abstract

Hydroponics is a potential option to farming in dirt because it gives you more control over how much water and nutrients are used. However, managing nutrients optimally in hydroponic systems is still a difficult task. This research suggests a smart nutrition management system that uses Internet of Things (IoT) technologies to get the most out of resources and increase food growth. The framework has sensors built in that can check external factors like pH, electrical conductivity, and nutrient amounts in the hydroponic solution in real time. These sensors send constant streams of data, which lets the exact amounts of nutrients be changed to meet the needs of different plants at different times of growth. Machine learning techniques are used to look at monitor data and guess what the best food mixes will be. The system changes with the times by using past data and weather models. This keeps resources from going to waste and increases food yield. The IoT system also allows tracking and control from afar, which makes upkeep and strategic actions easier. Automated alerts let farmers know when conditions aren't as good as they should be, so they can make changes quickly to avoid crop damage or nutrition shortages. Experiments are done in a controlled growing setting to see how well the planned system works. Compared to standard ways, the results show big gains in food growth and resource economy. It can also be scaled up or down, and it can be changed to work with different types of crops and environments.