Modern agriculture faces the challenge of adopting technologies that enhance productivity and environmental control, particularly in rural areas where access to advanced solutions is limited. In this context, small-scale production units require efficient monitoring systems to optimize critical variables such as temperature and humidity. This study presents the design and simulation of an accessible IoT platform for monitoring these variables in controlled agricultural environments, using the Wokwi and Adafruit IO tools. The proposed system integrates the DHT22 sensor, which provides accurate and low-cost measurements, with the ESP32 microcontroller, offering built-in Wi-Fi connectivity. Real-time data transmission is achieved through the MQTT protocol, known for its lightweight structure and efficiency in low-bandwidth networks. The system was virtually validated through simulations on ...

The Internet of Things (IoT) enables the interconnection of sensors and actuators to provide scalable, effective, and low-cost solutions capable of collecting, transmitting, and processing real-time information. In the agricultural sector, the lack of integrated systems for environmental monitoring limits the efficient management of resources and timely responses to climatic variations. In this context, the objective of this work was to design and implement an IoT architecture for real-time monitoring of ambient temperature and humidity, using DigitalOcean as the cloud server, Node-RED as the integration environment, and the MQTT protocol for data transmission. An ESP32 microcontroller connected to a DHT11 sensor was employed, managed by the Mosquitto broker, with data storage in MySQL and visualization through a dashboard developed in Node-RED. The results demonstrated stable communicat...