ロード中…
Corn Seed Defect Detection Based on Watershed Algorithm and Two-Pathway Convolutional Neural Networks
Corn seed materials of different quality were imaged, and a method for defect detection was developed based on a watershed algorithm combined with a two-pathway convolutional neural network (CNN) model. In this study, RGB and near-infrared (NIR) images were acquired with a multispectral camera to tr...
| 主要な著者: | , , , , |
|---|---|
| フォーマット: | Online 論文 テキスト |
| 言語: | English |
| 出版事項: |
Frontiers Media S.A.
2022
|
| 主題: | |
| オンライン･アクセス: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8905238/ https://www.ncbi.nlm.nih.gov/pubmed/35283875 http://dx.doi.org/10.3389/fpls.2022.730190 |