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@article{196401,
        author = {R. AKASH and N. Kalaiselvi and E. Suresh},
        title = {Modern Aquaculture: The Role of Sensors, IoT, and AI in Precision Farming},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {3447-3451},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=196401},
        abstract = {Modern aquaculture increasingly integrates a diverse array of sensor technologies to enhance productivity and sustainability. Water quality sensors are fundamental, continuously tracking parameters like temperature, pH, dissolved oxygen, salinity, turbidity, and nutrient levels (ammonia, nitrates). Beyond these, specialized environmental sensors detect contaminants and harmful algal blooms, while animal monitoring sensors, including computer vision systems and hydrophones, observe fish behavior, estimate biomass, and optimize feeding. System operation sensors monitor crucial infrastructure like water flow and pumps. The data from these varied sensors are often leveraged through Internet of Things (IoT) platforms and Artificial Intelligence (AI), enabling real-time monitoring, remote control, and data-driven decision-making for improved water management, animal welfare, and overall operational efficiency in aquaculture systems.},
        keywords = {},
        month = {April},
        }