The application belongs to the technical field of automatic detection, and particularly relates to a soybean
hybrid plant automatic detection method and
system based on botanical morphological characteristics, which comprises
data acquisition, extraction of pixel-level contours of soybean leaflets and flowers and
phenotype categories; construction of leaf
vein direction vectors and calculation of geometric parameters based on morphological characteristics by using the pixel-level contours; completion of preliminary grouping of the leaflets; weighted calculation of comprehensive leaf types based on the classification confidence of each leaflet in the preliminary grouping,
verification of whether there are abnormal leaflets with conflicting
phenotype characteristics in the preliminary grouping by using the comprehensive leaf types, and correction of the abnormal leaflets; and judgment of the soybean
hybrid plants by comparing the standard feature
library of the target breeding variety with the soybean
hybrid plants by using the dual-trait cross
verification mechanism of the comprehensive leaf types and flower colors. The application overcomes the
vulnerability of single morphological characteristics to
environmental stress interference, and realizes high-precision screening of field soybean hybrid plants with high robustness and low misjudgment rate without increasing the cost of three-dimensional hardware.