The drought and salinity intrusion in the Mekong River Delta in the years has become
more and more serious, but the system automatically measures and collects water salinity data
at either the river mouths or the canal has not been deployed and used widely in this region due
to the high investment cost. The goal of this study is to design a monitoring and data acquisition
on river water salinity based on the IoT (Internet of Things) technology. The sensor nodes are
designed by using the Texas Instruments MSP432 microcontrollers to read data from sensors
such as water level, temperature, and salinity. This information is encapsulated and then send to
a gateway via a LoRa network. The gateway uses the Raspberry Pi 3 B+ board allowing to
receive the data from the sensor nodes and upload data to the cloud server through the Internet
connection. A webpage is designed to offer everyone to observe measured parameters rapidly so
that the people can take a proactive plan to take water for domestic use and production
activities. An experiment to evaluate the performance of our proposed system was carried out
in Soc Trang province, Mekong Delta, Vietnam with initial positive results.