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A deep learning method was proposed to locate the tea plucking points for the one tip with two leaves - a high plucking standard in tea gardens.
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The method comprises a Faster R-CNN model and a FCN model in cascade.
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The Faster R-CNN detects the regions of one tip with two leaves in images.
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The FCN detects the plucking points in one-tip-with-two-leaves regions.
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The Faster R-CNN and FCN achieved a recall of 90% and an accuracy of 84.91%.
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