Deep learning methods comparison on images of tomato and cucumber leaf identification

HIGHLIGHTS

• What: In this study, high accuracy deep learning models that can identify tomato and cucumber leaves for use in agriculture are compared.
• Who: LEAF IDENTIFICATION and colleagues from the Mechatronics Engineering Department, Engineering Faculty, Erciyes University, Turkey have published the article: DEEP LEARNING IMAGES OF TOMATO, in the Journal: (JOURNAL)
• How: In this study deep learning models AlexNet and SqueezeNet are used to classify tomato and images. tomato leaves and leaves are photographed to create the dataset used in the study. As a result of the study the most accurate result is obtained . . .
  

   

  

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