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@article{199151,
        author = {Velugubantla Mani Venkata Santhosh and Rokalla Durga Mohan Kumar and Kukkala Lakshmi Charan and Kota Vishnu Priyanka},
        title = {IoT-Enabled Intelligent Aquaculture Water Quality Monitoring},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {10762-10765},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=199151},
        abstract = {Aquaculture produces food on a global scale as a food source, however managing water quality is one of many significant issues that aquaculturists face. To address these issues, we propose an intelligent aquaculture monitoring system utilizing the LPC1768 and ESP32 microcontrollers and IoT technology. The system allows for onsite and remote monitoring of several parameters in aquaculture systems (temperature, humidity, pH levels, turbidity, dissolved oxygen and water level). The information collected from sensors is processed by the microcontrollers and displayed locally on a LCD screen for onsite monitoring and uploaded to Zoho's IoT cloud service for offsite monitoring and analysis purposes. The development of this system facilitates fewer daily manual actions, improves accuracy of monitoring, and provides timely decision-making. The experimental results demonstrate reliable operation and the continued consistency of the water quality parameters required to sustain aquaculture.},
        keywords = {IoT, LPC1768, ESP32, LCD Display, pH Sensor, Turbidity Sensor, Dissolved Oxygen},
        month = {April},
        }