IOT BASED FRUITS RIPENING MONITORING SMART AGRICULTURAL SYSTEM

Abstract

This IoT-based smart agriculture system employs wireless sensors to monitor temperature, humidity, and ethylene gas levels in fruit storage areas. Data is transmitted to a cloud platform, where machine learning algorithms analyze it to predict optimal ripening conditions. Farmers access real-time insights and receive recommendations via a user-friendly mobile/web application. Actuators adjust environmental conditions for precise fruit ripening, enhancing efficiency and yield. The system's continuous learning improves predictive capabilities over time, making it a valuable tool for sustainable and optimized fruit cultivation. Keywords: Sensors, Node MCU, IOT, Remote Monitoring, cloud computing, Fruits ripening.