This invention relates to the field of feeding management technology, and in particular to a method and
system for automatically adjusting feeding amount based on fish
feeding behavior. The method involves acquiring historical feeding status parameters of a target
aquaculture pond, including historical
environmental data, historical feeding data, historical fish
feeding behavior data, and historical feed residue rate. Based on these historical feeding status parameters, a target
feeding behavior characteristic for the target
aquaculture pond is constructed. The similarity of feeding behavior between the target
aquaculture pond and each reference aquaculture pond is determined based on this characteristic. Reference aquaculture ponds with a feeding behavior similarity greater than a preset threshold are marked as candidate aquaculture ponds. The target feeding amount for the target aquaculture pond is determined based on the historical feeding amount and feeding behavior similarity of the candidate aquaculture ponds. This invention enables precise, adaptive, and cross-
scenario intelligent decision-making regarding feeding amount by analyzing the historical
feeding patterns of fish and matching
empirical data from similar aquaculture scenarios.