Swift plant disease diagnosis is vital to prevent extensive production losses and uphold food security. Recently, object detection-based methods using deep learning have shown promise in accurately ...
The 3-dimensional point cloud technology revolutionizes non-invasive measurement of plant phenotypic parameters, offering vital data for agriculture and research. Current research focuses on ...
The quest for efficient 3D plant shoot segmentation, vital for extracting plant phenotypic traits, has driven the integration of deep learning with point clouds. Traditional 2D methods, while ...
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Plant phenotyping: Deep learning and 3D point cloud technology in overcoming reconstruction challenges
3D point cloud technology revolutionizes non-invasive measurement of plant phenotypic parameters, offering vital data for agriculture and research. Current research focuses on overcoming the ...
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