The design and evaluation of an orange-fruit detection model in a dynamic environment using a convolutional neural network

HIGHLIGHTS

• who: Sadaf Zeeshan and colleagues from the Mechanical Engineering Department, University of Central Punjab, Lahore, Pakistan have published the Article: The Design and Evaluation of an Orange-Fruit Detection Model in a Dynamic Environment Using a Convolutional Neural Network, in the Journal: Sustainability 2023, 15, x FOR PEER REVIEW of /2023/
• what: The model was then run and its performance evaluated. This study fills the following gaps: Unlike single fruit images used in many previous datasets, this study provides a diversified dataset with real-time images that have occlusion, illumination variation, and noise that replicates . . .
  

   

  

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