This invention discloses a
pollen identification method based on dual-model decision arbitration and multimodal
database association, belonging to the field of intelligent
identification technology. The method includes: acquiring
pollen images; inputting them into a first model based on Visual
Transformer and a second model based on YOLO for parallel
inference, outputting candidate categories and predicted probabilities; inputting the results into an arbitration engine; if the highest confidence categories match, a direct determination is made; otherwise, dynamic weighted arbitration is performed to obtain the final determination category; subsequently, the corresponding morphological feature text descriptions are retrieved in real time from the multimodal
database, and the determination category, text description, feature heatmap, and alternative references are simultaneously pushed to the interactive interface. This invention overcomes the "
black box" defect of models, achieves
macro- and micro-feature complementarity and intelligent arbitration, constructs an "instant recognition and interpretation" auxiliary
identification system, and improves the accuracy and
interpretability of
pollen identification.