ArticleFrontiers in plant science2022
Identification and picking point positioning of tender tea shoots based on MR3P-TS model.
Article in Frontiers in plant science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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8 citing papers in PubMed.
- TeaNeRF: an integrated 3D visual perception pipeline for tea bud harvesting.Frontiers in plant science · 2026Article
- YOLO-LMTB: A Lightweight Detection Model for Multi-Scale Tea Buds in Agriculture.Sensors (Basel, Switzerland) · 2025Article
- Tea Bud Detection Model in a Real Picking Environment Based on an Improved YOLOv5.Biomimetics (Basel, Switzerland) · 2024Article
- Design and Testing of a Seedling Pick-Up Device for a Facility Tomato Automatic Transplanting Machine.Sensors (Basel, Switzerland) · 2024Article
- A method of identification and localization of tea buds based on lightweight improved YOLOV5.Frontiers in plant science · 2024Article
- Tea-YOLOv8s: A Tea Bud Detection Model Based on Deep Learning and Computer Vision.Sensors (Basel, Switzerland) · 2023Article
- Continuous identification of the tea shoot tip and accurate positioning of picking points for a harvesting from standard plantations.Frontiers in plant science · 2023Article
- A tea bud segmentation, detection and picking point localization based on the MDY7-3PTB model.Frontiers in plant science · 2023Article
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8 authors.
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Abstract
Tea is one of the most common beverages in the world. In order to reduce the cost of artificial tea picking and improve the competitiveness of tea production, this paper proposes a new model, termed the Mask R-CNN Positioning of Picking Point for Tea Shoots (MR3P-TS) model, for the identification of the contour of each tea shoot and the location of picking points. In this study, a dataset of tender tea shoot images taken in a real, complex scene was constructed. Subsequently, an improved Mask R-CNN model (the MR3P-TS model) was built that extended the mask branch in the network design. By calculating the area of multiple connected domains of the mask, the main part of the shoot was identified. Then, the minimum circumscribed rectangle of the main part is calculated to determine the tea shoot axis, and to finally obtain the position coordinates of the picking point. The MR3P-TS model proposed in this paper achieved an mAP of 0.449 and an
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