👉 Fishing computing, also known as "fisheries informatics," is an interdisciplinary field that integrates computational methods and data analytics to enhance the management, monitoring, and sustainability of fisheries. It involves the collection, processing, and analysis of vast amounts of data from various sources, including satellite imagery, sensor networks, historical catch records, and environmental factors. By leveraging advanced algorithms, machine learning, and big data technologies, fishing computing helps in predicting fish populations, optimizing fishing efforts, detecting illegal activities, and assessing the impact of climate change on marine ecosystems. This data-driven approach supports informed decision-making for policymakers, fishermen, and conservationists, aiming to ensure the long-term viability of fish stocks and marine biodiversity.
