Evaluation of effective class-balancing techniques for cnn-based assessment of aphanomyces root rot resistance in pea (pisum sativum l.)

HIGHLIGHTS

• who: L. G. Divyanth and collaborators from the Department of Biological Systems Engineering, Washington State University, Pullman, WA, USA have published the research: Evaluation of Effective Class-Balancing Techniques for CNN-Based Assessment of Aphanomyces Root Rot Resistance in Pea (Pisum sativum L.), in the Journal: Sensors 2022, 7237 of /2022/
• what: In this study the resistance to ARR was evaluated through a CNN-based assessment of root images. The authors implemented a commonly used loss function for classification problems-the multi-class cross entropy loss function which combines the multi-class cross entropy loss . . .
  

   

  

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