HIGHLIGHTS
- who: . et al. from the Northeast University, China have published the Article: Automated extraction of Camellia oleifera crown using unmanned aerial vehicle visible images and the ResU-Net deep learning model, in the Journal: (JOURNAL)
- what: This study investigates the capability of the semantic segmentation model ResU-Net to extract C. oleifera crowns from multi-band combined images with elevation information derived from UAV imagery. The research mentioned above focuses primarily on macrophanerophytes, and there are fewer Frontiers in Plant Science Next, this study compares the performance of the ResU-Net with the classical watershed . . .
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