YOLOv8-segANDcal: segmentation, extraction, and calculation of soybean radicle features Article Swipe
Yijie Wu
,
Zhengjun Li
,
Haoyu Jiang
,
Qianyun Li
,
Jinxin Qiao
,
Feng Pan
,
Xiuqing Fu
,
Biao Guo
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3389/fpls.2024.1425100
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3389/fpls.2024.1425100
The high-throughput and full-time acquisition of images of crop growth processes, and the analysis of the morphological parameters of their features, is the foundation for achieving fast breeding technology, thereby accelerating the exploration of germplasm resources and variety selection by crop breeders. The evolution of embryonic soybean radicle characteristics during germination is an important indicator of soybean seed vitality, which directly affects the subsequent growth process and yield of soybeans. In order to address the time-consuming and labor-intensive manual measurement of embryonic radicle characteristics, as well as the issue of large errors, this paper utilizes continuous time-series crop growth vitality monitoring system to collect full-time sequence images of soybean germination. By introducing the attention mechanism SegNext_Attention, improving the Segment module, and adding the CAL module, a YOLOv8-segANDcal model for the segmentation and extraction of soybean embryonic radicle features and radicle length calculation was constructed. Compared to the YOLOv8-seg model, the model respectively improved the detection and segmentation of embryonic radicles by 2% and 1% in mAP 50-95 , and calculated the contour features and radicle length of the embryonic radicles, obtaining the morphological evolution of the embryonic radicle contour features over germination time. This model provides a rapid and accurate method for crop breeders and agronomists to select crop varieties.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3389/fpls.2024.1425100
- https://www.frontiersin.org/journals/plant-science/articles/10.3389/fpls.2024.1425100/pdf
- OA Status
- gold
- Cited By
- 7
- References
- 39
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4400568976
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4400568976Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3389/fpls.2024.1425100Digital Object Identifier
- Title
-
YOLOv8-segANDcal: segmentation, extraction, and calculation of soybean radicle featuresWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-07-11Full publication date if available
- Authors
-
Yijie Wu, Zhengjun Li, Haoyu Jiang, Qianyun Li, Jinxin Qiao, Feng Pan, Xiuqing Fu, Biao GuoList of authors in order
- Landing page
-
https://doi.org/10.3389/fpls.2024.1425100Publisher landing page
- PDF URL
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https://www.frontiersin.org/journals/plant-science/articles/10.3389/fpls.2024.1425100/pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
- OA URL
-
https://www.frontiersin.org/journals/plant-science/articles/10.3389/fpls.2024.1425100/pdfDirect OA link when available
- Concepts
-
Radicle, Extraction (chemistry), Segmentation, Biology, Botany, Germination, Artificial intelligence, Computer science, Chemistry, ChromatographyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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7Total citation count in OpenAlex
- Citations by year (recent)
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2025: 6, 2024: 1Per-year citation counts (last 5 years)
- References (count)
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39Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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