Water quality is essential for the survival of aquaculture species, making it a prominent issue in the aquaculture sector. Traditional aquaculture operations require substantial manpower and time to monitor water quality variations in fishponds, leading to operational challenges. An automated water quality monitoring system can relieve farmers of this burden and provide them with accurate information and assistance. Given the expansive nature of fishponds, it is necessary to employ long-range communication technologies to boost wireless signal coverage. Therefore, in this study, we incorporate a range of water quality sensors and LoRa long-range wireless communication technology to create a Fuzzy-logic-based Long-range Aquaculture System to address these issues. Upon deployment in fishponds, the system successfully monitored water quality and controlled dissolved oxygen levels. It is expected that this system will serve as a prototype for future aquaculture system innovations.