Investigating the accuracy of classification in unbalanced data in order to diagnose two common potato leaf diseases (early blight and late blight) using image processing and machine learning

HIGHLIGHTS

• What: This approach has the potential to reduce the adverse effects of plant diseases by detecting them at an early stage, allowing for more effective management and intervention . The aim of this research was to provide a more reliable alternative to traditional diagnostic methods and to assist farmers in implementing more efficient control measures. The study aimed to address the grape leaf disease identification problem caused by the lack of existing real-time detection methods. The aim of this paper is to align the advances made in the field of machine_learning with one of the main questions . . .
  

   

  

  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.