Improved csw-yolo model for bitter melon phenotype detection

HIGHLIGHTS

• What: This research provides an accurate and reliable method for bitter melon identification and also offers technical support for the visual technologies of other agricultural products. Inand total, 871 to original images This not at only enables the model learn moreindiverse features adapt a wider range were obtained. of input data but also helps the model learn to ignore irrelevant features and focus on more generalizable features . To further enhance the the bitter gourd top and tail shape recognition model, this study proposes an improved precision and recall of the bitter gourd top and tail shape recognition . . .
  

   

  

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