[1]

You X, Leng Y, Huo C, Tian J. 2025. A brief analysis of tea import and export trade in china in 2024. China Tea 47(3):14−19 (in Chinese)

doi: 10.3969/j.issn.1000-3150.2025.03.004
[2]

Wang D. 2024. Current status of global tea trade and strategies for the development of China's tea exports. China Tea 46(12):7−12 (in Chinese)

doi: 10.3969/j.issn.1000-3150.2024.12.002
[3]

Yan Z, Zhong Y, Duan Y, Chen Q, Li F. 2020. Antioxidant mechanism of tea polyphenols and its impact on health benefits. Animal Nutrition 6(2):115−123

doi: 10.1016/j.aninu.2020.01.001
[4]

Mei Y. 2025. Analysis of China's tea production and domestic sales in 2024. China Tea 47(6):24−30 (in Chinese)

doi: 10.3969/j.issn.1000-3150.2025.06.004
[5]

Gao Y, Xu C, Lin Q, Wang S, Wei Z. 2024. Tea production equipment automation and intelligent technology research progress and prospects. Transactions of the Chinese Society for Agricultural Machinery 55(7):1−14

doi: 10.6041/j.issn.1000-1298.2024.07.001
[6]

Zheng H, Fu T, Xue X, Ye Y, Yu G. 2023. Research status and prospect of tea mechanized picking technology. Journal of Chinese Agricultural Mechanization 44(9):28−35

doi: 10.13733/j.jcam.issn.2095-5553.2023.09.005
[7]

Du Z, Hu Y, Wang S. 2018. Simulation and experiment of reciprocating cutter kinematic of portable tea picking machine. Transactions of the Chinese Society for Agricultural Machinery 49(S1):221−226

doi: 10.6041/j.issn.1000-1298.2018.S0.029
[8]

Han Y, Song Z, Chen Q, Mei S, Yang G. 2022. Optimization and experiment of arc type reciprocating double-acting tea picking cutter. Transactions of the Chinese Society of Agricultural Engineering 38(24):35−43

doi: 10.11975/j.issn.1002-6819.2022.24.004
[9]

Chen J, Jiang Q, Han Y, Cai X, Chen B. 2024. Research progress of tea production mechanization. China Tea 46(4):8−17 (in Chinese)

doi: 10.3969/j.issn.1000-3150.2024.04.002
[10]

Wu M, Huan X, Chen J, Dong C, Shao B, et al. 2023. Research and experiment on profiling method of tea picker based on fusion of 2D-LiDAR and attitude and heading reference system. Journal of Tea Science 43(1):135−145

doi: 10.13305/j.cnki.jts.2023.01.008
[11]

Huan X, Wu M, Bian X, Jia J, Kang C, et al. 2024. Design and experiment of ordinary tea profiling harvesting device based on light detection and ranging perception. Agriculture 14(7):1147

doi: 10.3390/agriculture14071147
[12]

Du Z. 2020. Research on biomimetic design of cutting blade for tea stem and its cutting performance. Thesis. Jiangsu University, China. doi: 10.27170/d.cnki.gjsuu.2020.000113 (in Chinese)
[13]

Wang S. 2018. Research design and experimental study on portable electric tea plucking machine. Thesis. Jiangsu University, China (in Chinese)
[14]

Wang H, Bai Z, Xu H, Xu K, Huang A, et al. 2024. Portable famous tea fresh leaves picking machine based on lifting-picking action. Acta Agriculturae Zhejiangensis 36(5):1161−1172 (in Chinese)

doi: 10.3969/j.issn.1004-1524.20230614
[15]

Jia J, Ye Y, Cheng P, Zhu Y, Fu X, et al. 2022. Design and experimental optimization of hand-held manipulator for picking famous tea shoot. Transactions of the Chinese Society of Agricultural Machinery 53(5):86−92

doi: 10.6041/j.issn.1000-1298.2022.05.009
[16]

Liu H, Xiao Q, Li X, Bai J, Wang D, et al. 2024. Design and experiment of the stepped transportation tea harvesting and grading integrated machine. Transactions of the Chinese Society of Agricultural Engineering 40(17):52−60

doi: 10.11975/j.issn.1002-6819.202403181
[17]

Jiang Z. 2023. Optimal parameter design on fracture tea-picking device for famous and high-quality. Thesis. Jiangsu University, China doi: 10.27170/d.cnki.gjsuu.2023.002328 (in Chinese)
[18]

Chen C, Lu J, Zhou M, Yi J, Liao M, et al. 2022. A YOLOv3-based computer vision system for identification of tea buds and the picking point. Computers and Electronics in Agriculture 198:107116

doi: 10.1016/j.compag.2022.107116
[19]

Li J, Li J, Zhao X, Su X, Wu W. 2023. Lightweight detection networks for tea bud on complex agricultural environment via improved YOLO v4. Computers and Electronics in Agriculture 211:107955

doi: 10.1016/j.compag.2023.107955
[20]

Gui Z, Chen J, Li Y, Chen Z, Wu C, et al. 2023. A lightweight tea bud detection model based on Yolov5. Computers and Electronics in Agriculture 205:107636

doi: 10.1016/j.compag.2023.107636
[21]

Cao M, Fu H, Zhu J, Cai C. 2022. Lightweight tea bud recognition network integrating GhostNet and YOLOv5. Mathematical Biosciences and Engineering 19(12):12897−12914

doi: 10.3934/mbe.2022602
[22]

Wang M, Li Y, Meng H, Chen Z, Gui Z, et al. 2024. Small target tea bud detection based on improved YOLOv5 in complex background. Frontiers in Plant Science 15:1393138

doi: 10.3389/fpls.2024.1393138
[23]

Xie S, Sun H. 2023. Tea-YOLOv8s: a tea bud detection model based on deep learning and computer vision. Sensors 23(14):6576

doi: 10.3390/s23146576
[24]

Liu Z, Zhuo L, Dong C, Li J, Li Y. 2025. TBD-Y: Automatic tea bud detection with synergistic object-spatial attention and global-local attention guided feature fusion. Smart Agricultural Technology 12:101066

doi: 10.1016/j.atech.2025.101066
[25]

Yan L, Wu K, Lin J, Xu X, Zhang J, et al. 2022. Identification and picking point positioning of tender tea shoots based on MR3P-TS model. Frontiers in Plant Science 13:962391

doi: 10.3389/fpls.2022.962391
[26]

Chen YT, Chen SF. 2020. Localizing plucking points of tea leaves using deep convolutional neural networks. Computers and Electronics in Agriculture 171:105298

doi: 10.1016/j.compag.2020.105298
[27]

Wang T, Zhang K, Zhang W, Wang R, Wan S, et al. 2023. Tea picking point detection and location based on Mask-RCNN. Information Processing in Agriculture 10(2):267−275

doi: 10.1016/j.inpa.2021.12.004
[28]

Luo K, Zhang X, Cao C, Wu Z, Qin K, et al. 2023. Continuous identification of the tea shoot tip and accurate positioning of picking points for a harvesting from standard plantations. Frontiers in Plant Science 14:1211279

doi: 10.3389/fpls.2023.1211279
[29]

Li Y, Wu S, He L, Tong J, Zhao R, et al. 2023. Development and field evaluation of a robotic harvesting system for plucking high-quality tea. Computers and Electronics in Agriculture 206:107659

doi: 10.1016/j.compag.2023.107659
[30]

Li Y, He L, Jia J, Lv J, Chen J, et al. 2021. In-field tea shoot detection and 3D localization using an RGB-D camera. Computers and Electronics in Agriculture 185:106149

doi: 10.1016/j.compag.2021.106149
[31]

Chen Z, Chen J, Li Y, Gui Z, Yu T. 2023. Tea bud detection and 3D pose estimation in the field with a depth camera based on improved YOLOv5 and the optimal pose-vertices search method. Agriculture 13(7):1405

doi: 10.3390/agriculture13071405
[32]

Yang J, Li X, Wang X, Fu L, Li S. 2024. Vision-based localization method for picking points in tea-harvesting robots. Sensors 24(21):6777

doi: 10.3390/s24216777
[33]

Xu W, Zhao L, Li J, Shang S, Ding X, et al. 2022. Detection and classification of tea buds based on deep learning. Computers and Electronics in Agriculture 192:106547

doi: 10.1016/j.compag.2021.106547
[34]

Motokura K, Takahashi M, Ewerton M, Peters J. 2020. Plucking motions for tea harvesting robots using probabilistic movement primitives. IEEE Robotics and Automation Letters 5(2):3275−3282

doi: 10.1109/LRA.2020.2976314
[35]

Luo K, Wu Z, Cao C, Qin K, Zhang X, et al. 2022. Biomechanical characterization of bionic mechanical harvesting of tea buds. Agriculture 12(9):1361

doi: 10.3390/agriculture12091361
[36]

Luo K, Wu Z, Cao C, Qin K, Zhang X, et al. 2022. Design and experiment of the combined pinch and cut picker for tea fresh leaf tips. Transactions of the Chinese Society of Agricultural Engineering 38(13):1−9

doi: 10.11975/j.issn.1002-6819.2022.13.001
[37]

Hao M, Chen Y, Pan Z, Sun Y. 2018. Development of a bionic plucking finger for high-quality green tea. Food & Machinery 34(10):86−90

doi: 10.13652/j.issn.1003-5788.2018.10.018
[38]

Xue P, Li Q, Fu G. 2024. Design and control simulation analysis of tender tea bud picking manipulator. Applied Sciences 14(2):928

doi: 10.3390/app14020928
[39]

Zhu Y, Wu C, Tong J, Chen J, He L, et al. 2021. Deviation tolerance performance evaluation and experiment of picking end effector for famous tea. Agriculture 11(2):128

doi: 10.3390/agriculture11020128
[40]

Zhu Y, Wei Y, Wang Z, Wang R, Wu C, et al. 2022. Numerical simulation for deformation characteristic of tea shoot under negative pressure guidance by the immersed boundary–lattice Boltzmann method. Journal of Computational Science 65:101882

doi: 10.1016/j.jocs.2022.101882
[41]

Chen J, Li H, Liu L, Jia J, Zhao R, et al. 2024. Design and experimental optimization of end effector for picking famous tea with split-cutter. Transactions of the Chinese Society for Agricultural Machinery 55(1):39−46

doi: 10.6041/j.issn.1000-1298.2024.01.003
[42]

Chen J, Li H, Ren P, Jia J, Zhao R, et al. 2023. Design and experiment of threaded tube adsorption type famous tea harvester. Transactions of the Chinese Society for Agricultural Machinery 54(5):131−139

doi: 10.6041/j.issn.1000-1298.2023.05.013
[43]

Chen J, Chen Q, Liu L, Jia J, He L, et al. 2024. Design and experiment of rotating two workstations integrated effector for famous tea picking and collection. Transactions of the Chinese Society for Agricultural Machinery 55(10):136−144

doi: 10.6041/j.issn.1000-1298.2024.10.013
[44]

Lin G, Zheng X, Zeng W, He Z, Li W, et al. 2025. Optimization design and testing of under-actuated tea harvesting end-effector. Transactions of the Chinese Society for Agricultural Machinery 56(1):133−140

doi: 10.6041/j.issn.1000-1298.2025.01.014
[45]

Jiang H, Wang D, Liu H, Lu D, Wei C, et al. 2025. Comprehensive comparative study on harvesting performance of step-conveyor tea harvesters. China Tea 47(8):28−33 (in Chinese)

doi: 10.3969/j.issn.1000-3150.2025.08.005
[46]

Jia J, Wang D, He L, Wu C, Chen J, et al. 2025. Research progress and prospects of mechanical technology for whole machine of high-quality tea picking robot. Transactions of the Chinese Society of Agricultural Machinery 56(8):193−206

doi: 10.6041/j.issn.1000-1298.2025.08.018