IoT Based Smart Agriculture Monitoring System

Abstract

The rapid advancement of Internet of Things (IoT) technology has revolutionized the field of agriculture by enabling efficient and intelligent monitoring systems. This paper proposes an IoT-based smart agriculture monitoring system that incorporates sensors to measure soil quality, temperature, air moisture, and soil moisture. The system utilizes an ARM Cortex microcontroller to gather data from these sensors and performs predictive analysis. The system is designed to address the challenges faced by farmers in monitoring crucial parameters for optimal crop growth. In conclusion, the proposed IoT- based smart agriculture monitoring system offers an efficient and comprehensive solution for monitoring essential parameters in agricultural environments. Keywords – DHT11 Temperature and Humidity sensor, Arm Cortex Rp2040, LCD, pH sensor, Moisture sensor, Predictive analysis, Blynk IOT.