Deep-learning-based automatic evaluation of rice seed germination rate.

Journal: Journal of the science of food and agriculture
Published Date: Mar 15, 2023

Abstract

BACKGROUND: Rice is an important food crop plant in the world and is also a model plant for genetics and breeding research. The germination rate is an important indicator that measures the performance of rice seeds. Currently, solutions involving image processing techniques have substantial challenges in the identification of seed germination. The detection of rice seed germination without human intervention involves challenges because the rice seeds are small and densely distributed.

Authors

  • Jinfeng Zhao
    Institute of Physical Education and Sport, Shanxi University, Taiyuan, China.
  • Yan Ma
    Medical School of Chinese PLA, 100853 Beijing, China.
  • Kaicheng Yong
    Shanghai Key Laboratory of Plant Molecular Sciences, College of Life Sciences, Shanghai Normal University, Shanghai, China.
  • Min Zhu
    Department of Infectious Diseases, Affiliated Taizhou Hospital of Wenzhou Medical University, No.50 Ximeng Road, Taizhou, 317000, China.
  • Yueqi Wang
    Shanghai Key Laboratory of Plant Molecular Sciences, College of Life Sciences, Shanghai Normal University, Shanghai, China.
  • Zhaowei Luo
    Shanghai Key Laboratory of Plant Molecular Sciences, College of Life Sciences, Shanghai Normal University, Shanghai, China.
  • Xin Wei
    Department of Urology, The Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510700, China.
  • Xuehui Huang
    Shanghai Key Laboratory of Plant Molecular Sciences, College of Life Sciences, Shanghai Normal University, Shanghai, China.

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