A tea sprout recognition segmentation method based on an improved watershed algorithm is proposed in this study. First, images of naturally grown tea leaves in�...
A tea sprout recognition segmentation method based on an improved watershed algorithm is proposed in this study. First, images of naturally grown tea leaves in�...
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Oct 2, 2022 � This study proposes a method of tea segmentation and picking point location based on a lightweight convolutional neural network named MC-DM.
Jun 2, 2024 � This study uses YOLOv5 as the initial network and utilizes attention mechanism to obtain more detailed information about tea buds, reducing false detections�...
Sep 19, 2023 � This study applies an enhanced version of the YOLOv5 algorithm for tea bud detection in a wide field of view.
May 5, 2024 � Zhang et al. [1] introduced a famous tea sprout identification and segmentation method based on improved watershed algorithm. Gui et al. [2]�...
Jul 27, 2024 � This method can rapidly identify a tea sprout's picking point and obtain its coordinates. Images of tea sprouts in a tea garden were collected,�...
A real-time tea shoot detection method using the channel and layer pruned YOLOv3-SPP deep learning algorithm was proposed in this study.
... Method of famous tea sprout identification and segmentation based on improved watershed algorithm. Computers and Electronics in. Agriculture 184:106108 (2021)�...
Wu, J. Jia, and J. Chen, “Method of famous tea sprout identification and segmentation based on improved watershed algorithm,” Computers and Electronics in�...