Towards feed independence: Types of auto-feeder technologies for efficient fish farming
نویسندگان
چکیده
Efficient feeding plays a vital role in the success of fish farming operations. In recent years, there has been growing need to develop auto-feeder technologies that not only optimize feed utilization but also reduce labor costs and environmental impact. This abstract explores various types contribute achieving independence farming. The paper delves into three primary categories auto-feeders: demand-based feeders, time-based sensor-based feeders. Demand-based feeders employ advanced algorithms dispense based on fish's appetite, ensuring optimal rates minimizing wastage. Time-based provide at pre-determined intervals, offering more straightforward approach requiring careful calibration. Sensor-based utilize real-time data from sensors, such as water quality parameters behavior, adjust schedules quantities accordingly. highlights advantages limitations each type, considering factors conversion efficiency, growth performance, requirements. Furthermore, it discusses potential integration artificial intelligence machine learning enhance technologies' performance adaptability. findings suggest have revolutionize practices by enabling independence. These reducing waste, improving rates, optimizing strategies. However, further research is needed overcome challenges accurate appetite estimation, sensor calibration, cost-effectiveness. Ultimately, emphasizes importance sustainable efficient practices, paving way for increased productivity reduced impact aquaculture industry.
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ژورنال
عنوان ژورنال: International Journal of Fisheries and Aquatic Studies
سال: 2023
ISSN: ['2347-5129', '2394-0506']
DOI: https://doi.org/10.22271/fish.2023.v11.i4a.2819