A drone-based high-throughput phenotyping approach to assess time-series nitrogen responses and associated genetic components in maize
Data and Resources
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README.txtTXT
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erodene_clipped_image_metadata_2019Directory
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erodene_drone_image_metadata_2019Directory
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erodene_drone_images_2019Directory
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erodene_NE_clipped_images_2019Directory
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erodene_NW_clipped_images_2019Directory
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erodene_SE_clipped_images_2019Directory
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erodene_SW_clipped_images_2019Directory
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Additional Info
| Field | Value |
|---|---|
| Author | Eric Rodene |
| Last Updated | September 10, 2026, 18:02 (UTC) |
| Published | April 8, 2026, 06:52 (UTC) |
| Citation | Eric Rodene 2021. A drone-based high-throughput phenotyping approach to assess time-series nitrogen responses and associated genetic components in maize. CyVerse Data Commons. DOI 10.25739/4t1v-ab64 |
| de_created_date | 2021-05-14T23:39:53Z |
| de_modified_date | 2021-05-17T16:29:22Z |
| identifierType | DOI |
| publisher | CyVerse Data Commons |
| resourceType | UAV crop images |