Quantitative phenotyping and evaluation for lettuce leaves of multiple semantic components

HIGHLIGHTS

  • who: Jianjun Du from the Beijing, China have published the article: Quantitative phenotyping and evaluation for lettuce leaves of multiple semantic components, in the Journal: (JOURNAL) of February/25,/2020
  • what: This study provides valuable perspectives for developing automated high-throughput phenotyping application of lettuce leaves and the improvement of agronomic traits such as effective photosynthetic area and vein configuration. The training and validation sets were used to train the model, and the testing set was used to evaluate the performance of the model. This study assessed the average angle of the second-order veins . . .

     

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