The invention relates to the technical field of
automatic control and
the Internet of Things, in particular to an intelligent agricultural monitoring and adjusting
system based on digital twinning and
the Internet of Things, and the
system comprises 1) a bimodal flexible sensing node which uploads a
signal in real time through a sensing probe attached to the surface of a
plant and an
Internet of Things communication node; 2) a twinborn model construction module: constructing a three-dimensional digital twinborn model of the
plant, and obtaining the current physical state of the
plant; 3) a multi-field cooperative computing core: deducing an optimal target
sound wave frequency and a
sound wave array control instruction according to the current physical state; 4) an
acoustic wave targeted adjustment module for adjusting the plant surface microenvironment; and 5) a self-adaptive closed-loop calibration module which realizes iterative optimization of control precision. According to the method, target leaves are screened in an environment extreme value region, a very small number of double-layer sensing probes are deployed to serve as sentinels, and high-precision and wide-coverage monitoring is conducted on the whole-space plant microcosmic physiological state.