Milkfish hatchery production is highly dependent on sustainable natural food supplies such as Chlorella sp. and rotifers (Brachionus plicatilis). The amount of feed consumption in larval rearing has a dominant effect on fish growth. Calculation of the amount of natural feed consumed by milkfish larvae and controlling water quality needs to be improved by utilizing artificial intelligence so that the calculations and controls carried out will be more efficient. This study aims to determine the amount of daily consumption of natural food for milkfish larvae and analyze the relationship between daily consumption of natural food and the growth of milkfish larvae monitored using artificial intelligence. This research was conducted in October 2022 at the Ecosystem Captive and Rehabilitation Laboratory, Faculty of Marine Science and Fisheries, Hasanuddin University, Makassar. The test animals used were milkfish larvae aged 1 day at a density of 30 fish/L. Milkfish larvae were reared using a 12 L volume aquarium and feed Chlorella sp. and Brachionus plicatilis with different densities. The study was designed using a completely randomized design (CRD) consisting of 3 density treatments with 3 replications each, namely 25, 50 and 75 ind/ml. Daily consumption of natural feed and water quality will be monitored using artificial intelligence. The results showed that under normal conditions the larvae were able to consume up to 0 ind/ml of the total amount of rotifer feeding, this indicated that rotifers were a good type of natural feed given to the milkfish larval stage. Based on the results of the study it can be concluded thatthe daily amount of feed consumed by milkfish larvae from different treatments monitored using artificial intelligence has the same effect on milkfish larvae, and there is a relationship between daily feed consumption on the growth of milkfish larvae monitored using artificial intelligence.