The present application relates to a kind of soybean
plant stalk related phenotypes automatic acquisition method based on
deep learning, through eight steps, the
deep learning and
image processing technology are fused and used, for mature soybean whole
plant image in combination with soybean
plant morphological characteristics, through the
deep learning training target detection model, stem node is identified, training semantic segmentation model extracts stem region, in combination with stem region extraction result optimization stem node detection result, again in combination with image binary
processing, design multi-path planning
algorithm is respectively realized stem node positioning, sequencing, counting and stem node spacing calculation to the
main stem and
branch of reconstruction, with maximum inscribed circle method obtains
main stem and
branch stem thick, realizes the automatic acquisition of mature soybean whole
plant stem related phenotypes, provides
mass phenotype data for breeder. Overcome the deficiency of present artificial and sensor detection method and
image processing method to collect soybean whole plant
phenotype data, with the characteristics of objective, accurate, automatic, high efficiency to obtain
phenotype data.