• Maize Seedling Quality Detection via UAV and Deep Learning

  • Oct 5 2024
  • Length: 12 mins
  • Podcast

Maize Seedling Quality Detection via UAV and Deep Learning

Listen for free

View show details

  • Summary

  • In today's episode we discuss study investigates a new method for assessing the quality of maize seedlings using high-resolution drone imagery.


    It combines a deep learning object detection algorithm, YOLO v8, with Voronoi spatial analysis to extract three key indicators: the Voronoi Polygon Uniformity Index (VPUI), missing seedling rate, and repeated seedling rate.


    The authors compare their method to traditional plant spacing analysis and demonstrate its superior accuracy, particularly in detecting missing seedlings.


    The research highlights the potential of this method for improving agricultural production efficiency and reducing labour costs.


    Hosted on Acast. See acast.com/privacy for more information.
    Show more Show less
activate_Holiday_promo_in_buybox_DT_T2
Show more Show less

What listeners say about Maize Seedling Quality Detection via UAV and Deep Learning

Average customer ratings

Reviews - Please select the tabs below to change the source of reviews.

Audible.com reviews

Amazon reviews
No Reviews are Available