Fish Nutrigenomics and AI Lab | Dr. Yathish Ramena, Director, Center of Excellence
Highest Quality | Best Nutrition
AI-powered detection, length measurement, and weight estimation using computer vision and deep learning.
AI-powered detection and biomass estimation for Black Tiger Shrimp aquaculture research.
AI-powered detection and biomass estimation for Largemouth Bass aquaculture research.
AI-powered detection and biomass estimation for Giant Freshwater Prawn aquaculture research.
Outreach programs, industry partnerships, and technology transfer from the Fish Nutrigenomics and AI Lab.
Investigating the interaction between nutrition and gene expression in aquaculture species to optimize growth and health outcomes.
Developing deep learning models for automated species detection, biomass estimation, and health monitoring in aquaculture systems.
Integrating IoT sensors, real-time monitoring, and predictive analytics for sustainable and efficient aquaculture production.
Developing mathematical models for predicting growth trajectories and optimizing feeding strategies in commercial aquaculture.
Hands-on training sessions for aquaculture farmers on best practices, disease management, and technology adoption.
Bridging research and industry by providing AI-powered tools and decision support systems to aquaculture producers.
Developing curricula, online courses, and educational materials for the next generation of aquaculture professionals.