India’s aquaculture sector is a major player in global seafood production, contributing 14 per cent to the total global market and supporting millions of rural and coastal communities. Despite its $25 billion market size, the sector struggles with inefficient market linkages, hindering farmers’ access to inputs and output markets.

The Indian fisheries and seafood industry was a traditional one, and India’s vast geographical landscape made it impractical to capture data physically. This made it tough for key players to use Artificial Intelligence (AI) to bring about greater efficiencies in the overall supply chain for fish and shrimp farming. Aquaconnect took a different approach by integrating geospatial technologies with AI models to inject efficiency into the Indian seafood value chain. The company has revolutionised aquaculture with AI-driven predictive analytics and real-time insights, enhancing productivity and promoting sustainable fish and shrimp farming practices.

“AI offers unparalleled advantages in processing vast amounts of geospatial imagery, helping us accelerate our mission to revolutionise the industry. Before implementing AquaSAT, the aquaculture industry struggled with inefficient market linkages for accessing inputs and selling harvest produce. Understanding production trends could take up to a year, delaying critical decisions and hindering efficiency across the value chain. After deploying AquaSAT, we deliver near real-time intelligence to the sector,” said Sudhakar Velayudham, Entrepreneur in Residence at Aquaconnect.

They map pond boundaries, identify fish and shrimp ponds, assess culture stages, determine input needs, and predict harvest supply. This is simple to track production status, monitor stocked and harvested ponds, detect disease-prone areas, and forecast outputs from individual ponds to the national level. Government institutions leverage these insights for policy making, addressing gaps and opportunities, production zoning, and strategic countermeasures. “Our platform enhances transparency and efficiency, empowering stakeholders with actionable data across the value chain,” he further said.