Environmental simulation model for rapid prediction of tea seedling growth

HIGHLIGHTS

  • who: He Li and collaborators from the Tea Research Institute, Qingdao Agricultural University, Qingdao, China have published the paper: Environmental Simulation Model for Rapid Prediction of Tea Seedling Growth, in the Journal: Agronomy 2022, 3165 of 13/Nov/2021
  • what: This study proposes a tea simulation (TSGS) model based on deep learning. This study provided effective technical parameters for intelligent control of tea-cutting and a new method for rapid breeding. In this study, the research focuses on the influence of environmental parameters on the growth of tea seedlings. The effects of different genotypes of . . .

     

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