  This study intends to build smart water irrigation for rice farming using IoT
and microcontroller devices with solar panel support. The system demonstrates
the capabilities of automated irrigation by reducing physical labor through
smart monitoring of the temperature, soil moisture, and humidity using multiple
sensors. This study uses an agile methodology as it is suitable for reiterative
operation for the development of the prototype. The mean result for the
interpretation of data gathered for the systems' adaptability and flexibility
is 4.32. The researchers were able to develop smart water irrigation for rice
farming using IoT and microcontroller devices with solar panel support and the
respondents also agreed that Smart water irrigation for rice farming using IoT
and microcontroller devices with solar panel support is practical and valuable.
A decision support system is recommended that can analyze data collected from
IoT sensors and provide further recommendations. Based on the results, it is
also suggested that future researchers use drip irrigation, instead of flood
irrigation. Smart water irrigation has the potential to revolutionize
agriculture, enhance environmental sustainability, and address pressing global
challenges related to water resources and food security. These implications
highlight the importance of continued research and innovation in this field.
