Computer vision and machine learning for robust phenotyping in genome-wide studies

HIGHLIGHTS

• who: Jiaoping Zhang from the Plant material and field phenotypingA total of , soybean lines including , plant introduction (PI) lines, three maturity checks and the IDC resistant (Clark) and susceptible (Iso-clark) checks were included in this study. The PI lines were acquired from the USDA soybean germplasm collection, and were maturity group (MG) I (31%), II (36%) and III (33%). They originated from , countries across the world, and the top three origin countries were China have published the paper: Computer vision and machine learning for robust phenotyping in genome-wide studies, in the Journal: (JOURNAL) of 08 . . .
  

   

  

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