Sensor Based Environmental Control System for Efficient Nursery Management

The increasing demand for efficient and sustainable agricultural practices has driven the adoption of advanced technologies in farming and nursery operations. This paper introduces a Smart Nursery Management System, leveraging sensor-based automation and IoT technologies to optimize environmental conditions critical for plant growth. The system integrates soil moisture sensors, light sensors, and a DHT11 module to monitor and control irrigation, lighting, and ventilation processes, ensuring resource efficiency. An ESP32 microcontroller serves as the system's core, enabling real-time data processing and remote control via a user-friendly application. Comparative analysis with traditional nursery management methods reveals significant improvements in water usage efficiency (25% reduction), labor reduction (30% less manual intervention), and enhanced plant growth rates (15% increase in biomass production). The paper also discusses the system’s limitations, potential for expansion, and a cost-benefit analysis, concluding that IoT-based solutions hold transformative potential for nursery management. Future research will focus on integrating advanced sensors and machine learning to enhance predictive capabilities and adaptability.