The invention relates to the technical field of intelligent
fishery, in particular to an intelligent feeding control method and
system for
aquaculture. The method comprises the following steps: collecting original
monitoring data, carrying out standardized preprocessing, and carrying out
feature extraction on the preprocessed data to obtain multi-
modal behavior features; on the basis of the multi-
modal behavior characteristics and in combination with the pre-processed data, calculating the
ingestion willingness index of the fish school, and judging whether a feeding process is started or not; when feeding is started, the feeding amount is calculated based on the fish school feeding willingness index, and feeding is conducted in combination with the feeding interval; after feeding, based on the multi-
modal behavior characteristics, obtaining
ingestion response data, and calculating a comprehensive feedback
score; based on the comprehensive feedback
score, the feeding amount and the feeding interval are updated in a self-adaptive mode, and closed-
loop control is achieved. The problems that in
aquaculture feeding,
food intake state recognition is not accurate,
water quality change response is lagged, a closed-loop feedback mechanism is lacked, artificial experience is relied on, and data credibility and tracing are insufficient are solved.