Scindapsus aureus leaf shape parameter estimation method based on MRE-Point Net and auto-encoder model
A shape parameter and autoencoder technology, applied in the field of parametric equation modeling and deep learning, to achieve high accuracy
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[0073]The present invention will be further described below in conjunction with examples, but the protection scope of the present invention is not limited to this:
[0074]1Materials and methods
[0075]1.1 Test materials
[0076]Scirpus is a negative plant, likes hot and humid environment, suitable for growth in an environment with a temperature higher than 10 ℃. The test species of S. sylvestris is Longteng S. sylvestris, and 10 pots of S. sylvestris that have been cultivated locally for 4 months and grow in good condition are selected as the test objects. The diameter of the canopy of the plant is 28~32cm, the height of the canopy is 8~12cm, the number of leaves in the canopy is similar, and the growth is good. In order to reduce the influence of the canopy surface leaves on the lower leaves, we averagely divide the canopy height into three upper, middle and lower layers for leaf data collection. Each layer collects 8-12 pieces of data, for a total of 300 pieces of leaf data.
[0077]1.2 Dat...
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