Study on intelligent full-dimensional identification of Asteraceae and Fabaceae weed seeds carried in imported raw grains
A full-dimensional intelligent identification instrument was applied to establish a species char-acteristic model of imported raw grain carrying weed seeds based on convolutional neural network tech-nology,and the instrument and model were applied to the intelligent full-dimensional identification re-search of 16 kinds of weed seeds of Asteraceae family and 18 kinds of weed seeds of Fabaceae carried by imported raw grain.These weed seeds were placed in different directions of the instrument for multi-ple detection.The accuracy of the detection were analyzed.The results showed that the identification ac-curacy of 22 species was 100％among the 30 species modeled,2 species was 95％-99％.6 species were below 95％.Of the 4 unmodeled species,three could not be identified and one was misidentified as an-other species.It shows that the instrument and the species identification model have a good effect on the identification of weed seeds.It is also found that the different place orientation has a slight influence on the recognition rate,and the edge position may not be recognized.However,different individuals have a great influence on the recognition rate,and the recognition accuracy may be related to whether the sur-face features of the specimen are complete.
imported bulk raw grainweed seedsintelligent recognitionAsteraceaeFabaceae
万方数据
维普
