This article presents the design and implementation of a wireless environmental monitoring system based on LoRa (Long Range) communication technology, optimized for low energy consumption and long-distance transmission. The system collects real-time data on temperature, humidity, carbon monoxide levels, and rain presence through a set of sensors integrated into a transmitter node with a microcontroller. The data is sent via a helical antenna designed and built to operate at 433 MHz and is received by a receiver node that forwards it to a cloud platform for storage and visualization. Simulations were carried out in MATLAB to validate the electromagnetic performance of the antenna. From the perspective of data science, the system allows for continuous collection of environmental data suitable for predictive analysis, anomaly detection, and real-time monitoring within IoT environments. The proposed architecture constitutes a scalable and low-cost solution that connects the acquisition of sensor data with intelligent analysis, being applicable to smart agriculture, urban monitoring, and environmental research.