Automated Aeroponics System IoT-Based Monitoring and Control for Optimized Plant Growth

Challenges of farming are getting worse due to pests, other environmental issues, and changes in the climate. Several novel technologies have been developed to improve plant growth and productivity, yet there are still numerous issues in this field. This suggests that daily improvements are needed. This paper provides an innovative automated system that uses a variety of environmental sensors, including as $\mathbf{p H}$, TDS, and humidity, for hydroponics and aeroponics. These sensors continuously monitor and modify crucial components to provide the perfect growth environment. In addition, the system has autonomous nutrient dosing, which reduces the need for human intervention and boosts overall effectiveness. Better control over the farming process is made possible by the system’s ability to scale and monitor in real-time thanks to the integration of IoT technologies. The study also looks at how machine learning (ML) and artificial intelligence (AI) might improve crop health monitoring and growth forecasts. Additionally, an LED-lit indoor farming setup is included in the system.