Optimizing performance in mango plant leaf disease classification through advanced machine learning techniques

HIGHLIGHTS

• What: This model demonstrated remarkable performance, achieving an accuracy of 96.67% in correctly classifying various disease conditions. This study proposed a model based on a feature fusion extractor and an SVC classifier, using a deep learning and image processing method to recognize eight plant leaf classes, including seven disease classes and one healthy.
• Who: gerry from the Department of CSE, G H Raisoni College of Engineering, Nagpur, India have published the research work: Optimizing Performance in Mango Plant Leaf Disease Classification through Advanced Machine Learning Techniques, in the Journal: (JOURNAL)
• How: In . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

  If you don't have an account, you can create one here.