The invention relates to the cross technical field of
artificial intelligence and intelligent
agriculture, discloses a poultry motion distribution analysis and feed feeding method and
system integrated with intelligent sensing, and aims to solve the problems of high decision
delay, high misjudgment rate and resource waste caused by dependence on indirect behavior
inference in the prior art. According to the method, poultry
breast muscle temperature, micro-
macro motion and identity data are collected in real time through a multi-mode sensing terminal, a group physiological
state space-time matrix is constructed at an edge gateway, and starvation
state distribution is predicted based on a
hidden Markov model; and the distributed feeder autonomously executes accurate feeding according to the locally received probability graph and the dynamic threshold value. The
system comprises a sensing terminal, an
edge computing gateway and an intelligent feeding
actuator, and a closed-loop architecture with in-situ sensing, edge analysis and autonomous response is formed. According to the application, low-
delay and high-precision response to the real hunger demand of the poultry is realized, the feeding efficiency is remarkably improved, and the
energy consumption and the communication overhead are reduced.