文献类型： 外文期刊
作者： Wu, Yijie 1 ; Li, Zhengjun 1 ; Jiang, Haoyu 1 ; Li, Qianyun 2 ; Qiao, Jinxin 3 ; Pan, Feng 4 ; Fu, Xiuqing 2 ; Guo, Biao 2 ;
作者机构： 1.Nanjing Agr Univ, Coll Artificial Intelligence, Nanjing, Peoples R China
2.Nanjing Agr Univ, Coll Engn, Nanjing, Peoples R China
3.Xinjiang Acad Agr & Reclamat Sci, Cotton Res Inst, Shihezi, Peoples R China
4.Xinjiang Acad Agr & Reclamat Sci, Inst Mech Equipment, Shihezi, Peoples R China
关键词： YOLOv8; soybean germination; image segmentation; feature extraction; radicle length calculation
期刊名称：FRONTIERS IN PLANT SCIENCE （ 影响因子：4.1； 五年影响因子：5.3 ）
ISSN： 1664-462X
年卷期： 2024 年 15 卷
页码：
收录情况： SCI
摘要： 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 mAP50-95, 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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