IoT Based Wireless Data Monitoring System

Abstract

The internet of things (IoT) has revolutionized real-time data acquisition and monitoring across various domains by enabling smart connectivity between physical devices and cloud-based services. This project presents an IoT-based data monitoring system designed to collect, process, and analyse data from remote sensors in real-time. The system uses a microcontroller (e.g., Arduino or ESP32) integrated with sensors to monitor parameters such as temperature, humidity, air quality, or other environment-specific variables. Data collected is transmitted wirelessly to a cloud platform where it is stored, visualized, and analysed. Users can access this data via a web interface enabling timely decision-making and alert generation in case of threshold breaches. The proposed system offers a scalable, cost-effective, and efficient solution for smart monitoring in fields such as agriculture, healthcare, industry, and smart cities, enhancing automation and data-driven management. The IoT has emerged as a powerful paradigm that enables the seamless interconnection of physical devices to the internet, allowing for the continuous collection, transmission, and analysis of data. This comprehensive IoT-based data monitoring system is designed to address the challenges associated with traditional monitoring methods, such as limited accessibility, manual data collection, and delayed responses.

This IoT-based solution not only enhances crop yield and quality but also contributes to sustainable agriculture by optimizing water usage, minimizing fertilizer waste, and enabling timely pest or disease intervention.