In precision agriculture, a possible application is based on the presence of many IoT devices across a field. The microcontroller in these devices uses a machine learning model for water stress assessment. During this application, the ML model in the microcontrollers must be updated occasionally, but it is not practical to update each microcontroller individually by the traditional method. Consequently, a solution would be to broadcast the update to all the microcontrollers with a wireless method. Thus, this project aims to use the LoRa technology for over-the-air update of ML models on IoT devices for precision agriculture.