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Tea-YOLOv8s: A Tea Bud Detection Model Based on Deep …
2023年7月21日 · Tea bud target detection is essential for mechanized selective harvesting. To address the challenges of low detection precision caused by the complex backgrounds of tea leaves, this paper introduces a novel model called Tea-YOLOv8s.
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Tea Bud and Picking Point Detection Based on Deep Learning
2023年6月8日 · To address the difficulty of detecting tea buds and the picking points in complex backgrounds, this study proposed a method combining a target detection model and a semantic segmentation model at the inference end, the improved YOLOX-tiny was used to detect tea buds first, the tea bud detection boxes were input into the improved PSP-net for ...
Tea Bud Detection Model in a Real Picking Environment Based on …
2024年11月13日 · The detection of tea bud targets is the foundation of automated picking of premium tea. This article proposes a high-performance tea bud detection model to address issues such as complex environments, small target tea buds, and blurry device focus in …
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Detection and recognition of tea buds by integrating deep
2024年2月10日 · The accurate detection of tea buds is a crucial foundation for achieving intelligent plucking of tea. However, in unstructured environments, the detection of these minuscule buds with extreme length-to-width ratios poses a significant challenge. In this study, a method was developed for the detection of tea buds in complex environments.
Tea Buds Detection in Complex Background Based on Improved …
Aiming at the problem that the color of tea buds is highly similar to the background in complex scenes and it is difficult to identify the buds, this study proposed an improved YOLOv7 algorithm by replacing the original convolution blocks with Depth Separable Convolution (DS Conv) blocks, and adding Convolutional Block Attention Modules (CBAM ...