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Aquaculture digitalization: boosting businesses with data-driven decisions

How digital systems, real-time monitoring, and data platforms are transforming aquaculture operations from feeding to traceability.

Written by Andriy Zhubryd May 2025

Digitalization and automation of the aquaculture industry

According to the Food and Agriculture Organization of the United Nations (FAO), “global investment in aquaculture has increased 5 times over the last decade, from nearly $50 billion in 2000 to $250 billion in 2022.” The expansion of digital technologies and industry modernization have driven this growth, with leading companies dedicating 3–6% of their revenue to software initiatives.

Digitalization is transforming aquaculture through several key mechanisms:

  • Automation: Digital systems reduce labor costs and improve efficiency through automated feeding, monitoring, harvesting, and processing operations while enabling more accurate health and behavior tracking.
  • Data analytics: Advanced analytics tools process vast amounts of fish health, behavioral, and environmental data to identify patterns and anomalies that inform management decisions and enhance productivity.
  • Remote monitoring: Sensors, cameras, and digital devices allow farmers to track fish behavior and water quality from distance, enabling rapid responses to environmental changes.
  • Precision farming: Real-time monitoring and adjustments to feeding, water quality, and other factors optimize fish growth while reducing waste.
  • Traceability: Digital systems enhance supply chain transparency from farm to market, ensuring product quality and regulatory compliance.

Working with data platforms in aquaculture: strategies and tools

Managing large datasets requires specialized solutions:

  • Dashboard and visualization tools: Consolidate multiple data sources into user-friendly interfaces for pattern identification across datasets.
  • Cloud-based platforms: Enable centralized data storage and analysis accessible anywhere, supporting real-time stakeholder collaboration.
  • Artificial Intelligence and Machine Learning: Automate analysis of large datasets to identify non-obvious patterns and generate quick insights.
  • Integrated Farm Management Systems: Combine operational data from feeding to processing in unified platforms providing real-time operational insights.
“One of the most efficient ways to perform analytics and monitor key parameters is to develop a data environment that provides valuable insights to management in real time — a Data Platform.”

Long-term benefits of data platforms

Data platforms deliver sustained competitive advantages:

  • Improved production efficiency: Real-time environmental and process data enables optimization of feeding regimes and water quality, reducing mortality and increasing yields.
  • Enhanced sustainability: Monitoring environmental conditions supports responsible operations and meets consumer demand for sustainable seafood.
  • Better decision making: Real-time insights on production and market trends drive informed strategic choices and improved profitability.
  • Improved supply chain management: Complete visibility from hatcheries to consumers enables better inventory management, waste reduction, and efficient delivery.
  • Increased innovation: Access to real-time data helps companies identify trends and develop competitive products.

Transforming aquaculture data into value

Advanced real-time monitoring technologies enable operations to optimize practices and increase yields. The company's data-driven platforms facilitate predictive analytics for resource management, finance, operations, and sales, supporting informed decisions that promote sustainable growth.

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