Due to the growing global connectivity, the need for the Internet of Things (IoT) has become increasingly essential. IoT facilitates the interconnection of various objects to the Internet, creating a seamless link between people and devices. This enhances decision-making by enabling faster, more precise actions. In a digitalized world, such systems help to reduce time wastage and improve overall efficiency. This paper proposes an early warning system for forest fires, addressing the lack of existing tools for early detection. The system employs low-cost com-ponents such as MQ-2 and LM35 sensors for environmental monitoring. Communication is managed via the Message Queue Telemetry Transport (MQTT) protocol, which ensures efficient data transmission between nodes and the cloud using a publish/subscribe model. The collected data is processed and stored in a non-relational database, allowing for real-time remote monitoring of sensor activity through a web-based interface. The system was tested under various conditions, demonstrating its potential in enhancing forest fire prevention efforts. Furthermore, functionality and performance tests are conducted at the facilities of the Universidad de las Fuerzas Armadas ESPE.