Prediction model of Populus simonii seedlings based on growth characteristics in China
In this paper, we originally apply the BP neural network to predict the plant height of Populus simonii seedlings. Firstly, we explore correlation among the section length variables of Populus simonii seedlings in four growth periods by using principal component analysis and hierarchical clustering...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2018-01-01
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| Series: | MATEC Web of Conferences |
| Online Access: | https://doi.org/10.1051/matecconf/201824603010 |