Existing devices for feeding fish involve two methods: manual feeding or automatic feeding, when a certain amount of feed is poured in at a certain time.
Both have their drawbacks. Thus, the efficiency of manual feeding can be reduced because the feed is not always evenly distributed throughout the pond. And automation may not take into account water parameters and regulate the amount of feed dispensed.
The new feeding system uses sensors to monitor water parameters and, based on these and the needs of the fish, adjusts the volume and dosing time of the feed.
“The development monitors water temperature, the acidity level of the liquid and dissolved oxygen. These parameters are key to proper growth of fish, affect their activity and feed consumption,” said the author of the project, postgraduate student of Volgograd State Technical University Roman Borzin.
Now university scientists are working on introducing artificial intelligence into development to predict the productivity of pond culture.
