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Pixel‐level supervision resolves overlap: Benchmarking YOLOv12 segmentation for accurate multi‐cluster dry bean stand counting from time series unoccupied aerial systems imagery
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| Published in: | Plant Phenome Journal |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| Subjects: | |
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| _version_ | 1867301677419200515 |
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| collection | WordPress RSS FRELIP Feed Integration |
| container_title | Plant Phenome Journal |
| description | |
| discipline_display | Agronomy and Crop Science |
| discipline_facet | Agronomy and Crop Science |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:84567 |
| institution | FRELIP |
| journal_source_facet | Plant Phenome Journal |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | Pixel‐level supervision resolves overlap: Benchmarking YOLOv12 segmentation for accurate multi‐cluster dry bean stand counting from time series unoccupied aerial systems imagery Agronomy and Crop Science General Agronomy and Crop Science |
| sub_discipline_display | General |
| sub_discipline_facet | General |
| subject_display | Agronomy and Crop Science General Agronomy and Crop Science Agronomy and Crop Science General Agronomy and Crop Science |
| subject_facet | Agronomy and Crop Science General Agronomy and Crop Science |
| title | Pixel‐level supervision resolves overlap: Benchmarking YOLOv12 segmentation for accurate multi‐cluster dry bean stand counting from time series unoccupied aerial systems imagery |
| title_auth | Pixel‐level supervision resolves overlap: Benchmarking YOLOv12 segmentation for accurate multi‐cluster dry bean stand counting from time series unoccupied aerial systems imagery |
| title_full | Pixel‐level supervision resolves overlap: Benchmarking YOLOv12 segmentation for accurate multi‐cluster dry bean stand counting from time series unoccupied aerial systems imagery |
| title_fullStr | Pixel‐level supervision resolves overlap: Benchmarking YOLOv12 segmentation for accurate multi‐cluster dry bean stand counting from time series unoccupied aerial systems imagery |
| title_full_unstemmed | Pixel‐level supervision resolves overlap: Benchmarking YOLOv12 segmentation for accurate multi‐cluster dry bean stand counting from time series unoccupied aerial systems imagery |
| title_short | Pixel‐level supervision resolves overlap: Benchmarking YOLOv12 segmentation for accurate multi‐cluster dry bean stand counting from time series unoccupied aerial systems imagery |
| title_sort | pixel‐level supervision resolves overlap: benchmarking yolov12 segmentation for accurate multi‐cluster dry bean stand counting from time series unoccupied aerial systems imagery |
| topic | Agronomy and Crop Science General Agronomy and Crop Science |
| url | https://acsess.onlinelibrary.wiley.com/doi/10.1002/ppj2.70083?af=R |