Difference between revisions of "File:Fig10 Sutton SmartAgTech2023 3.jpg"
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==Summary== | |||
{{Information | |||
|Description='''Fig. 10''' Trichome density. For each photographed bract image, trichome density was computed as the number of trichome gland heads per square millimeter. Points are the mean of all bract tissue samples observed at the specified flowering time, with error bars representing the standard deviation of the mean. Second order regression lines display 95% confidence intervals as transparent bands. | |||
|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 21:24, 26 December 2023
Summary
Description |
Fig. 10 Trichome density. For each photographed bract image, trichome density was computed as the number of trichome gland heads per square millimeter. Points are the mean of all bract tissue samples observed at the specified flowering time, with error bars representing the standard deviation of the mean. Second order regression lines display 95% confidence intervals as transparent bands. |
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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 |
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Licensing
|
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. |
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