A deep-learning-based detection approach for the identification of insect species of economic importance

HIGHLIGHTS

• who: Michael Tannous and collaborators from the The BioRobotics Institute, Sant`Anna School of Advanced Studies, Viale Rinaldo Piaggio, Pontedera, Italy have published the article: A Deep-Learning-Based Detection Approach for the Identification of Insect Species of Economic Importance, in the Journal: Insects 2023, 148 of /2023/
• what: A CNN based on the YOLO network was used as a detection method to classify in
• how: In this work three resolutions were used 1920 u00d7image 1080 640 360 anddifferent 416 u00d7 234. scales t composed of 912 images 70% training set 20% validationaset . . .
  

   

  

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