| abstract |
The invention relates to a method for identifying the leaf age of rice seedlings based on machine vision. artificially detected seedling leaf age; S2, using image preprocessing technology to build different training sets; S3, using traditional machine vision technology to build a detection model for different leaf ages of rice seedlings; S4, using deep learning to build different seedlings Leaf age detection model, and compare the detection accuracy of different network models; S5, select the evaluation index to test the traditional machine learning model and the deep learning detection model, select the optimal or appropriate to build an intelligent detection model for the leaf age of rice seedlings . The invention can construct an intelligent identification system for the leaf age of rice seedlings, provides guidance and analysis for subsequent research on rice seedlings, and belongs to the technical field of identification of the leaf age of rice seedlings. |