Difference between revisions of "File:Fig4 Sutton SmartAgTech2023 3.jpg"
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==Summary== | |||
{{Information | |||
|Description='''Fig. 4''' Color figure of segmentation pipeline. Input image patches ① are segmented into trichome glands ② using the artificial neural network DO-U-Net. Outputs from different patches are stitched together ③ to segment trichome gland instances for each image. ④ Glands are then individually classified by phenotype using a k-NN classifier. | |||
|Source={{cite journal |title=Characterization of trichome phenotypes to assess maturation and flower development in ''Cannabis sativa'' L. (cannabis) by automatic trichome gland analysis |journal=Smart Agricultural Technology |author=Sutton, D.B.; Punja, Z.K.; Hamarneh, G. |volume=3 |at=100111 |year=2023 |doi=10.1016/j.atech.2022.100111}} | |||
|Author=Sutton, D.B.; Punja, Z.K.; Hamarneh, G. | |||
|Date=2023 | |||
|Permission=[https://creativecommons.org/licenses/by-nc-nd/4.0/ Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International] | |||
}} | |||
== Licensing == | == Licensing == | ||
{{cc-by-nc-nd-4.0}} | {{cc-by-nc-nd-4.0}} | ||
Latest revision as of 22:55, 6 June 2023
Summary
| Description |
Fig. 4 Color figure of segmentation pipeline. Input image patches ① are segmented into trichome glands ② using the artificial neural network DO-U-Net. Outputs from different patches are stitched together ③ to segment trichome gland instances for each image. ④ Glands are then individually classified by phenotype using a k-NN classifier. |
|---|---|
| Source |
Sutton, D.B.; Punja, Z.K.; Hamarneh, G. (2023). "Characterization of trichome phenotypes to assess maturation and flower development in Cannabis sativa L. (cannabis) by automatic trichome gland analysis". Smart Agricultural Technology 3: 100111. doi:10.1016/j.atech.2022.100111. |
| Date |
2023 |
| Author |
Sutton, D.B.; Punja, Z.K.; Hamarneh, G. |
| Permission (Reusing this file) |
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International |
| Other versions |
Licensing
  |
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. |
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