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ORIGINAL RESEARCH article

Front. Plant Sci.
Sec. Sustainable and Intelligent Phytoprotection
Volume 15 - 2024 | doi: 10.3389/fpls.2024.1447346
This article is part of the Research Topic AI, Sensors and Robotics in Plant Phenotyping and Precision Agriculture, Volume III View all 7 articles

Evaluation of cucumber seed germination vigor under salt stress environment based on improved YOLOv8

Provisionally accepted
Zhengxin Fang Zhengxin Fang 1*Qinglu Fan Qinglu Fan 2Luxu Tian Luxu Tian 1*Haoyu Jiang Haoyu Jiang 1*Chen Wang Chen Wang 1*Xiuqing Fu Xiuqing Fu 1*Xiaozhong Li Xiaozhong Li 3*Meng Li Meng Li 1*Shiyan Zhang Shiyan Zhang 1*Yaben Zhang Yaben Zhang 1*Yingyue Li Yingyue Li 1*
  • 1 Nanjing Agricultural University, Nanjing, China
  • 2 Xinjiang Academy of Agricultural and Reclamation Sciences (XAARS), Shihezi, Xinjiang Uyghur Region, China
  • 3 Yangzhou Polytechnic Institute, Yangzhou, Jiangsu Province, China

The final, formatted version of the article will be published soon.

    Seed germination vigor is one of the important indexes reflecting the quality of seeds, and the level of its germination vigor directly affects the crop yield. The traditional manual determination of seed germination vigor is inefficient, subjective, prone to damage the seed structure, cumbersome and with large errors. We carried out a cucumber seed germination experiment under salt stress based on the seed germination phenotype acquisition platform. We obtained image data of cucumber seed germination under salt stress conditions. On the basis of the YOLOv8-n model, the original loss function CIoU_Loss was replaced by ECIOU_Loss, and the Coordinate Attention(CA) mechanism was added to the head network, which helped the model locate and identify the target. The smalltarget detection head was added, which enhanced the detection accuracy of the tiny target. The precision P, recall R, and mAP of detection of the model improved from the original values of 91.6%, 85.4%, and 91.8% to 96.9%, 97.3%, and 98.9%, respectively. Based on the improved YOLOv8-ECS model, cucumber seeds under different concentrations of salt stress were detected by target detection, cucumber seed germination rate, germination index and other parameters were calculated, the root length of cucumber seeds during germination was extracted and analyzed, and the change characteristics of root length during cucumber seed germination were obtained, and finally the germination activity of cucumber seeds under different concentrations of salt stress was evaluated. This work provides a simple and efficient method for the selection and breeding of salttolerant varieties of cucumber.

    Keywords: cucumber seed1, phenotype acquisition system2, target detection3, YOLOv8 improvement4, seed germination vigor assessment5

    Received: 11 Jun 2024; Accepted: 27 Aug 2024.

    Copyright: © 2024 Fang, Fan, Tian, Jiang, Wang, Fu, Li, Li, Zhang, Zhang and Li. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Zhengxin Fang, Nanjing Agricultural University, Nanjing, China
    Luxu Tian, Nanjing Agricultural University, Nanjing, China
    Haoyu Jiang, Nanjing Agricultural University, Nanjing, China
    Chen Wang, Nanjing Agricultural University, Nanjing, China
    Xiuqing Fu, Nanjing Agricultural University, Nanjing, China
    Xiaozhong Li, Yangzhou Polytechnic Institute, Yangzhou, Jiangsu Province, China
    Meng Li, Nanjing Agricultural University, Nanjing, China
    Shiyan Zhang, Nanjing Agricultural University, Nanjing, China
    Yaben Zhang, Nanjing Agricultural University, Nanjing, China
    Yingyue Li, Nanjing Agricultural University, Nanjing, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.