Emergenet: a novel deep-learning based ensemble segmentation model for emergence timing detection of coleoptile

HIGHLIGHTS

• who: Aankit Das and colleagues from the available benchmark called the University of NebraskaLincoln (UNL-MED) consisting of timelapse image sequences of coleoptiles under theUnited States have published the article: EmergeNet: A novel deep-learning based ensemble segmentation model for emergence timing detection of coleoptile, in the Journal: (JOURNAL)
• what: The survey paper by_(Dhaka et_al, 2021) provided comparisons of various convolutional neural_networks and optimization techniques that are applied to predict plant diseases from leaf images. The training dataset is augmented to reduce overfitting and then fed to the model, EmergeNet, for training while the . . .
  

   

  

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