The invention relates to the field of intelligent
agriculture and intelligent construction, and discloses an agricultural
monitoring system and method based on an intelligent helmet, and the
system comprises a wearable terminal, an active sampling control module, an image recognition
processing module, a multi-
modal fusion module, a recognition reasoning module, and a result output module. The method comprises the steps of collecting a
field crop image and environment data; calculating an uncertainty index of an identification result according to the current image; if the uncertainty is high, adjusting the acquisition angle of the camera and re-sampling; constructing the image and the agricultural environment data into a multi-
modal graph structure and carrying out graph neural
network processing; performing dynamic trend identification on a fusion result, and outputting a
crop state; and outputting an identification result through a helmet display or linking an agricultural
control system to execute related operations. According to the invention, the capabilities of identification display,
voice communication, operation guidance and
system integration in a complex environment are improved, and the problems of poor real-time performance and
weak interaction of an existing scheme are solved.