AN IOT BASED AUTOMATED GREENHOUSE MONITORING SYSTEM WITH SECURITY MANAGEMENT

Abstract: Greenhouse farming requires continuous monitoring of environmental parameters to ensure optimal crop growth and yield. Traditional greenhouse management systems rely heavily on manual supervision, which is time- consuming, error-prone, and inefficient. This paper presents an IoT-based automated greenhouse monitoring and control system integrated with security management to address these challenges. The proposed system continuously monitors critical parameters such as temperature, humidity, soil moisture sensors connected to an ESP32 microcontroller. The collected data is transmitted securely to a cloud platform for real-time visualization and analysis. Automated control mechanisms are implemented to regulate irrigation, ventilation, and lighting based on predefined threshold values. Additionally, secure data transmission, user authentication, and remote access features are incorporated to protect sensitive agricultural data. Experimental results demonstrate improved resource utilization, reduced human intervention, and enhanced crop growth conditions, making the proposed system suitable for modern smart agriculture applications.

Keywords: Internet of Things (IoT), Smart Greenhouse, ESP32, Environmental Monitoring, Cloud Computing, Secure Agriculture.