Rubber tapping line detection in near-range images via customized YOLO and U-Net branches with parallel aggregation heads convolutional neural network

Wongtanawijit, Rattachai; Khaorapapong, Thanate

doi:10.1007/s00521-022-07475-z

Cited by 4 publications

(3 citation statements)

References 38 publications

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“…It was also important to take into consideration using various rubber tree and machine species as test subjects in further research [56,57]. With the advancement of information technology, rubber tapping intelligent technologies mainly include tapped area detection and new tapping line location [29], object detection algorithm [58], rubber-tapped path detection, nighttime rubber tapping line detection [11,59], rubber tapping robot forest navigation, and information collection systems [13,22]. One tendency in rubber tapping advancement is the fusion of mechanical cutters and intelligent technology advantages.…”

Section: Optimization Of the Mechanic Cuttermentioning

confidence: 99%

An Optimization Study on a Novel Mechanical Rubber Tree Tapping Mechanism and Technology

Wang,

Huang,

et al. 2023

Forests

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All-natural rubber is harvested from rubber trees (Hevea brasiliensis Muell. Arg.) by traditional tapping knives, so rubber tapping still heavily relies on labor. Therefore, this study explored a novel, hand-held mechanical rubber tapping machine for rubber tree harvesting. In this study, a mechanical tapping cutter with a vertical blade and adjustable guide was first described. The response surface method was applied to evaluate factors affecting the tapping effect. The experimental values were in close agreement with the predicted value. Machine-tapped latex was comparable in quality to hand-tapped latex. Based on the single-factor results, the response surface method (RSM) and the center combined rotation design (CCRD) optimization method were adopted to explore the influence of three factors influencing vertical blade height (A), cutting force (B), and spiral angle (C) on the tapping effect. Regarding the cutting rate of the old rubber line (Y1), cutting time (Y2), latex flow rate (Y3), and average cutting current (Y4) as evaluation indexes of the tapping effect, an optimization scheme was determined. The quadratic model fits for all the responses. The test results showed that the main factors affecting Y1, Y2, Y3, and Y4 were A and B, B, A and C, and B, respectively. Under optimal conditions, the influencing factors of A, B, and C were 10.24 mm, 51.67 N, and 24.77°, respectively, when the evaluation index values of Y1, Y2, Y3, and Y4 were 98%, 8.65 mL/5 min, 9.00 s, and 1.16 A. The range of the relative error between the experimental and predicted results was from −11.11% to 11.11%. According to the optimized treatment scheme, a comparison test was designed between mechanical and manual rubber tapping tools. To verify the availability and effect of the mechanical tapping method preliminarily, the important rubber tapping evaluation indexes included bark thickness, bark excision, latex flow time, cutting time, ash content, and cutting depth, which were selected to serve as a comparison test. There was no significant difference between hand and mechanical methods, except ash content (p < 0.05) and cutting time (p < 0.01). The mechanical tapping machine proposed in this study is meaningful to improve cutting efficiency, practicality, and operability. Furthermore, it provides crucial theoretical references for the development of intelligent tapping machines.

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Section: Optimization Of the Mechanic Cuttermentioning

confidence: 99%

An Optimization Study on a Novel Mechanical Rubber Tree Tapping Mechanism and Technology

Wang,

Huang,

et al. 2023

Forests

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“…control of intelligent rubber tapping machinery by introducing industrial ranging technology involving machine vision [18][19][20], laser ranging [21,22] and ultrasonic ranging [9]. But these technologies can only guide machines to accurately determine the position of the outer surface of the bark and cannot further quickly detect bark thickness.…”

Section: Introductionmentioning

confidence: 99%

“…In recent years, many scholars have attempted to use intelligent rubber tapping machinery, including rubber tapping robots [8][9][10][11][12][13] and fixed rubber tapping machines [14][15][16][17] instead of manual rubber tapping. They want to realize the precise tapping depth control of intelligent rubber tapping machinery by introducing industrial ranging technology involving machine vision [18][19][20], laser ranging [21,22] and ultrasonic ranging [9]. But these technologies can only guide machines to accurately determine the position of the outer surface of the bark and cannot further quickly detect bark thickness.…”

Section: Introductionmentioning

confidence: 99%

Stability Analysis of Planetary Rotor with Variable Speed Self Rotation and Uniform Eccentric Revolution in the Rubber Tapping Machinery

Cao,

Fan,

Xiao

et al. 2024

Forests

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Natural rubber is a critical material that is essential to industry and transportation. In order to reduce the cost of rubber tapping and improve the efficiency and profitability of rubber production, the 4GXJ-2 portable electric rubber cutter and automatic rubber tapping robot have been developed. In their vibration tool holder, the planetary rotor with variable speed self rotation and uniform eccentric revolution is the most important transmission component, and its instability will cause irregular vibration of the tapping tool, thereby reducing the accuracy of vibration cutting and increasing noise. Base on the ANCF (Absolute Nodal Coordinate Formulation) 3D-beam element and 3D REF (3D Ring on Elastic Foundation), a novel eccentric 3D REF model of a planetary rotor is proposed. By introducing multiple coordinate systems, the coupled motion of uniform eccentric revolution, variable speed self rotation and flexible deformation is decomposed and the influences of these motions on the centrifugal force and Coriolis force are more clearly derived. The model is degraded and validated by comparing with other examples of a rotating circular ring model and uniformly eccentrically revolving annular plate. According to the Floquet theory and Runge−Kutta method, the unstable region of revolution speed of a planetary rotor in rubber tapping machinery is predicted as [817 rad/s, 909 rad/s], [1017 rad/s, 1095 rad/s] and [1263 rad/s,1312 rad/s]. Compared with the rubber-tapping experiment of rubber tapping machinery, the validity of the proposed model is further verified. This model provides important design references for the speed settings of those rubber tapping machines.

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Corrosion and coating defect assessment of coal handling and preparation plants (CHPP) using an ensemble of deep convolutional neural networks and decision-level data fusion

Hoshyar

Samali

et al. 2023

Neural Comput & Applic

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Rubber tapping line detection in near-range images via customized YOLO and U-Net branches with parallel aggregation heads convolutional neural network

Cited by 4 publications

References 38 publications

An Optimization Study on a Novel Mechanical Rubber Tree Tapping Mechanism and Technology

An Optimization Study on a Novel Mechanical Rubber Tree Tapping Mechanism and Technology

Stability Analysis of Planetary Rotor with Variable Speed Self Rotation and Uniform Eccentric Revolution in the Rubber Tapping Machinery

Corrosion and coating defect assessment of coal handling and preparation plants (CHPP) using an ensemble of deep convolutional neural networks and decision-level data fusion

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