The introduction of Information Technology (IT) in fisheries represents a significant advancement in the management, sustainability, and productivity of aquatic resources. IT applications in fisheries comprise a wide range of technologies, including Geographic Information Systems (GIS), remote sensing, data analytics, and automated monitoring systems. These technologies facilitate precise mapping and monitoring of fish populations, habitats, and environmental conditions, enabling better decision-making and resource management. Using data analytics and machine learning algorithms improves the predictive modeling of fish stocks, aiding in the development of sustainable fishing practices and policies. Additionally, mobile applications and cloud-based platforms also enhance data collection and sharing among stakeholders, promoting transparency and collaboration. Real-time monitoring systems, equipped with sensors and Internet of Things (IoT) devices, provide continuous insights into water quality and fish health, helping to prevent disease outbreaks and optimize aquaculture operations. Overall, the application of IT in fisheries leads to more efficient, sustainable, and resilient fisheries management, addressing both ecological and economic challenges in the industry.

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Introduction of Information Technology in Fisheries and Aquaculture

  • Ananya Khatei,
  • Parvaiz Ahmad Ganie,
  • Pramod Kumar Pandey

摘要

The introduction of Information Technology (IT) in fisheries represents a significant advancement in the management, sustainability, and productivity of aquatic resources. IT applications in fisheries comprise a wide range of technologies, including Geographic Information Systems (GIS), remote sensing, data analytics, and automated monitoring systems. These technologies facilitate precise mapping and monitoring of fish populations, habitats, and environmental conditions, enabling better decision-making and resource management. Using data analytics and machine learning algorithms improves the predictive modeling of fish stocks, aiding in the development of sustainable fishing practices and policies. Additionally, mobile applications and cloud-based platforms also enhance data collection and sharing among stakeholders, promoting transparency and collaboration. Real-time monitoring systems, equipped with sensors and Internet of Things (IoT) devices, provide continuous insights into water quality and fish health, helping to prevent disease outbreaks and optimize aquaculture operations. Overall, the application of IT in fisheries leads to more efficient, sustainable, and resilient fisheries management, addressing both ecological and economic challenges in the industry.