Episodes

  • Maize Seedling Quality Detection via UAV and Deep Learning

    Maize Seedling Quality Detection via UAV and Deep Learning
    Oct 5 2024

    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.


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    12 mins
  • Using Hyperspectral Imaging and Deep Learning to Detect Frozen Pomegranates

    Using Hyperspectral Imaging and Deep Learning to Detect Frozen Pomegranates
    Oct 4 2024
    Discover how cutting-edge technology is transforming the way we ensure fruit quality. In this episode, we explore groundbreaking research that combines hyperspectral imaging and deep learning to detect frozen pomegranates. Learn how this innovative approach achieves over 99% accuracy, outperforming traditional methods. We'll discuss the potential impact on reducing food waste, preventing fraud, and improving storage efficiency in the agricultural industry. Join us as we delve into the fascinating world where artificial intelligence meets fruit inspection, and glimpse the future of food quality control.

    Hosted on Acast. See acast.com/privacy for more information.
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    7 mins