A maize seed variety identification method based on improving deep residual convolutional network
Seed quality and safety are related to national food security, and seed variety purity is an essential indicator in seed quality detection. This study established a maize seed dataset comprising 5877 images of six different types and proposed a maize seed recognition model based on an improved ResNe...
保存先:
| 主要な著者: | , , , |
|---|---|
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Frontiers Media S.A.
2024-05-01
|
| シリーズ: | Frontiers in Plant Science |
| 主題: | |
| オンライン･アクセス: | https://www.frontiersin.org/articles/10.3389/fpls.2024.1382715/full |
| タグ: |
タグなし, このレコードへの初めてのタグを付けませんか!
|