This study proposes an Internet of Things (IoT) network specifically designed to monitor greenhouse gases (GHGs) in mangrove forests. The network employs LoRa technology to transmit environmental data from sensor nodes to the central hub. Each node is equipped with a SCD41 sensor that is able to measure carbon dioxide concentrations, temperature, heat index, and humidity. A sensor node was prototyped and tested in a mangrove forest in Phuket, Thailand. The node, supplied by two Li-ion batteries, was able to collect the data every ten minutes for five days. LoRa transmitted the data from a mangrove forest to a central gateway at a research station. The data is then uploaded to a cloud-based platform for continuous monitoring and analysis. Field testing in a mangrove forest in Phuket, Thailand, demonstrated the system’s ability to provide accurate and reliable readings. This research highlights the potential of IoT and LoRa applications in mangrove monitoring. Future work includes expanding the sensor network and operational duration