Tradescantia response to air and soil pollution, stamen hair cells dataset and ann color classification

HIGHLIGHTS

• What: This study has three principal aims: (i) to investigate the sensibility of Tradescantia to air pollution and soil contamination; (ii) to build a novel dataset composed of single cell images from Tradescantia clone 4430 plant, and_(iii) to apply neural_network architectures (TinyVGG, VGG-16, and ResNET34) capable of automatically classify cells into blue or pink classes. To quantify the dose-response relation of diesel oil in Tradescantia, the authors propose a saturating function or stimulus response curve, which is described in Equation . The VGG is based on the study of AlexNet (Krizhevsky et_al, 2012), and it . . .
  

   

  

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