A novel method combining deep learning with the Kennard-Stone algorithm for training dataset selection for image-based rice seed variety identification.

Journal: Journal of the science of food and agriculture
Published Date: Jun 21, 2024

Abstract

BACKGROUND: Different varieties of rice vary in planting time, stress resistance, and other characteristics. With advances in rice-breeding technology, the number of rice varieties has increased significantly, making variety identification crucial for both trading and planting.

Authors

  • Chen Jin
    College of Computer Science, Nankai University, Tianjin 300350, China.
  • Xinyue Zhou
    School of Information Engineering, Huzhou University, Huzhou, China.
  • Mengyu He
    School of Information Engineering, Huzhou University, Huzhou 313000, China.
  • Cheng Li
    College of Food and Bioengineering, Henan University of Science and Technology, Luoyang, China.
  • Zeyi Cai
    School of Information Engineering, Huzhou University, Huzhou 313000, China.
  • Lei Zhou
    Department of Gastroenterology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Hengnian Qi
    School of Information Engineering, Huzhou University, Huzhou 313000, China.
  • Chu Zhang
    School of Information Engineering, Huzhou University, Huzhou 313000, China.

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