Abstract

This paper presents the design and implementation of an IoT -enabled smart agriculture system designed to enhance traditional farming practices through real-time monitoring of environmental parameters. The system integrates multiple sensors to measure temperature, humidity, soil moisture, and pH levels. Utilizing the Blynk IoT platform, the system provides real-time data visualization, enabling farmers to make informed decisions about irrigation and soil management. The project consists both hardware and software development, including rigorous testing of individual components and the integrated system. The DHT11 sensor demonstrated stable temperature and humidity measurements within a 2% deviation from reference instruments. The soil moisture sensor showed high sensitivity to changes in soil water content, ensuring precise irrigation management, while the pH sensor delivered accurate readings consistent with a standard pH meter. This project d emonstrates the significant potential of IoT technology in revolutionizing agriculture and underscores the viability of IoT solutions in promoting smarter, more efficient agricultural practices.