Semantic Segmentation of Sorghum Using Hyperspectral Data Identifies Genetic Associations
This study describes the evaluation of a range of approaches to semantic segmentation of hyperspectral images of sorghum plants, classifying each pixel as either nonplant or belonging to one of the three organ types (leaf, stalk, panicle). While many current methods for segmentation focus on separat...
| 主要な著者: | , , , , , |
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| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
American Association for the Advancement of Science (AAAS)
2020-01-01
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| シリーズ: | Plant Phenomics |
| オンライン･アクセス: | http://dx.doi.org/10.34133/2020/4216373 |