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The early stages of the fish life cycle are critical for survival into the reproductive stage. Without appropriate larval densities and live feed densities, the survival of the fish are at risk. Larval enumeration and growth monitoring systems allow aquaculture producers to both optimize hatchery space and to maintain proper densities of live feed organisms. Current methods of enumeration and growth monitoring are manual methods requiring significant resources and suffer from inaccuracy.
Researchers at FAU have developed a cost-effective tool for reliable larval enumeration and continuous growth monitoring in a non-intrusive manner. The system is comprised of an image capture front end which utilizes a light field rendering camera and strobe light. The image is then processed using a proprietary algorithm to enhance the image and then analyzed. This technology could potentially reduce feed costs, improve survivability, and lower production costs of aquaculture.
FAU is seeking partners to advance this technology into the marketplace through licensing or development partnerships.
Aquaculture is the breeding, rearing, and harvesting of fish, shellfish, and aquatic plants for food and feed supply. It is expected that aquaculture is expected to produce nearly two-thirds of the fish for global consumption by 2030. Although aquaculture has proven to be a successful method for food production, the field is facing challenges that compel innovation to ensure its sustainability.
Researchers at FAU have developed a novel artificial intelligence-driven water-quality monitoring framework. This system will achieve seamless human/machine collaboration and conduct automated sampling at frequencies relevant for accurate prediction. The novel technology provides a platform that enables cost-effective water quality measurements with advanced accuracy and less environmental burden.
FAU is seeking partners to advance this technology into the marketplace through licensing or development partnerships.