In the traditional aquaculture model, information such as the growth status, feeding situation, and disease signs of aquaculture organisms completely depends on the "empirical guess" of farmers. When feeding, the amount of feed can only be estimated based on the breeding density, which easily leads to the dilemma of "overfeeding pollutes water quality and underfeeding affects growth". Moreover, early diseases of fish and shrimp (such as body surface ulcers and abnormal swimming) are often hidden underwater, and when discovered, they have spread on a large scale, causing losses of hundreds of thousands or even millions of yuan at every turn.

Through "dynamic tracking + intelligent analysis", underwater aquaculture cameras have transformed biological management from "vague judgment" to "precision regulation". In terms of feeding monitoring, the lens can clearly record the feeding intensity and duration of fish and shrimp. The system automatically analyzes the feeding rules combined with AI algorithms, and then accurately pushes feeding suggestions to realize "on-demand feeding"—which not only reduces feed waste (it is estimated that it can reduce feeding costs by 15%-20%), but also avoids water pollution caused by residual bait. In disease prevention and control, high-definition cameras can capture tiny lesions on the body surface of fish and shrimp and subtle abnormalities in swimming posture (such as swimming alone or spinning). Farmers can timely detect early disease signs through remote terminals, isolate sick fish and deliver drugs in a targeted manner, minimizing disease losses. In addition, the camera can also regularly record the growth size and population density of fish and shrimp, providing objective data support for judging the time of pond separation and listing, and improving the refinement of aquaculture management.

For more information about underwater aquaculture camera, please visit the homepage.