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Novel and Automatic Rice Thickness Extraction Based on Photogrammetry Using Rice Edge Features
The dimensions of phenotyping parameters such as the thickness of rice play an important role in rice quality assessment and phenotyping research. The objective of this study was to propose an automatic method for extracting rice thickness. This method was based on the principle of binocular stereov...
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| Veröffentlicht in: | Sensors (Basel) |
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| Hauptverfasser: | , , , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
MDPI
2019
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6960983/ https://ncbi.nlm.nih.gov/pubmed/31888287 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s19245561 |
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