Overview of Research on Seedling Quality Grading Based on Artificial Intelligence

Authors

  • Zhengrong Li
  • Yurong Li
  • Wenlong Lv
  • Bingyao Ji

DOI:

https://doi.org/10.56028/aetr.6.1.387.2023

Keywords:

Seedling Quality;Grading Indicators;Artificial Intelligence.

Abstract

Testing and grading the quality of seedlings is beneficial for selecting advantageous varieties. This article discusses the grading indicators of seedling quality from three aspects: morphology, physiology, and vitality. It summarizes and prospects the research status of intelligent grading methods for seedling quality at home and abroad, aiming to provide reference for exploring new and more comprehensive intelligent grading methods.

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Published

2023-07-06