Research on Seeding Performance of Self-Propelled Industrial Hemp Seeder
Abstract
:1. Introduction
2. Structural Principle and Design Requirements
2.1. Structure of Machine and Seed Metering Device
2.2. Seeding Mechanism
2.3. Metering Quantity Requirement
3. Parameter Design and Analysis of Critical Components of Seed Metering Device
3.1. Basic Parameters of Industrial Hemp Seeds
3.2. Parameter Design of the Metering Wheel
3.2.1. Diameter of Metering Wheel
3.2.2. Hole Design
3.2.3. Speed of Seeding Wheel
3.2.4. Seed Cleaning Process Analysis
3.2.5. Analysis of the Process of Seed Protection and Seed Arrangement
4. Test and Verification of Seed Metering Device
4.1. Test Purpose
4.2. Test Equipment and Materials
4.2.1. Parameter Optimization Test
4.2.2. Parameter Optimization Test
4.3. Evaluation Indicators
4.4. Single Factor Test Results
4.4.1. Effect of the Rotational Speed of the Metering Wheel on Each Index
4.4.2. Effect of Hole Diameter on Each Index
4.4.3. Effect of Hole Depth on Each Index
4.5. Multi-Factor Test
4.5.1. Test Results and Regression Model Establishment
- (1)
- The regression equation of variation coefficient Y1 of seeding uniformity is:
- (2)
- The regression equation of the consistency coefficient Y2 of each row after excluding the insignificant indigenous term is:
4.5.2. Effect of Interaction among Factors on Test Indexes
- (1)
- Effect of interaction on variation coefficient of seeding uniformity
- (2)
- Effect of interaction on the coefficient of variation for consistency of seed quantity in each row
4.5.3. The Field Test
5. Conclusions
- According to the planting mode of industrial hemp for fiber in hilly and mountainous areas, the design of the industrial hemp seed metering device was carried out around the self-propelled industrial hemp seeder. The power chassis system drove the power input seeding and fertilization system to drive the rotation of the metering wheel so that the industrial hemp seeds in the hole of the metering wheel were dropped to the ditch by gravity after passing through the seed protection plate to complete the seeding operation. Through theoretical analysis, the structural parameters and structural parameters of the seed metering wheel are determined.
- We took the rotation speed of the seeding wheel, the depth of the seeding hole, and the diameter of the seeding hole as the test factors, and the variation coefficient of seed metering uniformity and seed metering quantity as the evaluation indexes. The value range of each factor was determined when the seed metering device met the total seeding quantity of 57.6~62.4 kg/hm2. We used the quadratic orthogonal rotating center combination test with three factors and three levels and carried out a regression analysis on the test results. The test results showed that: the seeding wheel speed had a significant impact on the seeding uniformity and the line displacement consistency coefficient.
- To optimize the structural and operational parameters of the wheel setter, we used Design-Expert 11.0 for optimization analysis. When the operating speed of the seeder was 4.7 km/h, the speed of the seed row wheel is 90.0 r/min, the diameter of the hole is 10.4 mm, and the depth of the hole is 6.4 mm in the optimal parameter group. At this time, the coefficient of variation of seed row uniformity was 3.66% and the coefficient of consistency of row displacement was 0.78%, both of which were better than the industry standard.
- In order to verify the practical application effect of the planter, we carried out field experiments on the optimized seeder. The results showed that the average variation coefficient of the actual seeding uniformity was 6.19%. The average coefficient of variation for consistency of seed quantity in each row displacement was 3.44%, which was much less than 8.0%, and the seeding performance was essentially consistent with the optimization results. The self-walking industrial hemp seeder could satisfy the design requirements and effectively improve the cultivation efficiency of fiber industrial hemp in mountainous areas and solve the problem of heavy labor intensity in artificial planting.
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Parameter | Mean Value/mm | Maximum Value/mm | Coefficient of Variation/% |
---|---|---|---|
Length | 3.9 | 4.2 | 1.3 |
Width | 3.0 | 3.2 | 1.2 |
Thickness | 2.4 | 2.5 | 1.0 |
Coding | Factor | ||
---|---|---|---|
Speed of Metering Wheel x1/(r·min−1) | Hole Diameter x2/mm | Hole Depth x3/mm | |
−1 | 80.0 | 10.0 | 5.5 |
0 | 90.0 | 11.0 | 6.5 |
1 | 100.0 | 12.0 | 7.5 |
Experimental Number | Experimental Factor | Experimental Index | |||
---|---|---|---|---|---|
Speed of Metering Wheel x1 | Hole Diameter x2 | Hole Depth x3 | Variation Coefficient of Seeding Uniformity Y1/% | Coefficient of Variation for Consistency of Seed Quantity in Each Row Y2/% | |
1 | −1 | 0 | 1 | 5.78 | 2.03 |
2 | 0 | −1 | −1 | 5.73 | 1.22 |
3 | 1 | 0 | −1 | 6.12 | 1.14 |
4 | −1 | −1 | 0 | 5.11 | 2.09 |
5 | 0 | 0 | 0 | 3.45 | 0.69 |
6 | 0 | 0 | 0 | 3.64 | 0.81 |
7 | −1 | 0 | −1 | 6.13 | 1.29 |
8 | 1 | −1 | 0 | 6.43 | 0.89 |
9 | 1 | 0 | 1 | 6.55 | 1.06 |
10 | 0 | 0 | 0 | 3.78 | 0.76 |
11 | 0 | 1 | 1 | 5.67 | 1.67 |
12 | −1 | 1 | 0 | 6.22 | 1.51 |
13 | 0 | 0 | 0 | 3.61 | 0.81 |
14 | 0 | 1 | −1 | 5.59 | 1.05 |
15 | 0 | 0 | 0 | 3.69 | 0.89 |
16 | 1 | 1 | 0 | 6.07 | 1.73 |
17 | 0 | −1 | 1 | 4.82 | 1.19 |
Variance Source | Variation Coefficient of Seeding Uniformity Y1/% | ||||
---|---|---|---|---|---|
Sum of Square | Degree of Freedom | Mean Square | F Value | p Value | |
Model | 20.12 | 9 | 2.24 | 85.23 | <0.0001 ** |
x1 | 0.47 | 1 | 0.47 | 17.75 | 0.0048 ** |
x2 | 0.27 | 1 | 0.27 | 10.16 | 0.0090 * |
x3 | 0.07 | 1 | 0.07 | 2.68 | 0.0014 ** |
x1×2 | 0.54 | 1 | 0.54 | 20.59 | 0.0012 ** |
x1×3 | 0.15 | 1 | 0.15 | 5.80 | 0.0019 * |
x2×3 | 0.25 | 1 | 0.25 | 9.34 | 0.0074 * |
9.58 | 1 | 9.58 | 364.97 | <0.0001 ** | |
2.80 | 1 | 2.80 | 106.73 | <0.0001 * | |
4.24 | 1 | 4.24 | 161.46 | <0.0001 ** | |
Residual | 0.18 | 7 | 0.026 | ||
Lack of Fit | 0.12 | 3 | 0.042 | 2.82 | 0.2953 |
Pure Error | 0.059 | 4 | 0.015 | ||
Cor Total | 20.31 | 16 | |||
= 0.9793; CV (Coefficient of Variation) = 3.12%; Adeq precious = 22.97 |
Variance Source | Coefficient of Variation for Consistency of Seed Quantity in Each Row Y2/% | ||||
---|---|---|---|---|---|
Sum of Square | Degree of Freedom | Mean Square | F Value | p Value | |
Model | 3.05 | 9 | 0.34 | 94.60 | <0.0001 ** |
x1 | 0.55 | 1 | 0.55 | 154.01 | <0.0001 ** |
x2 | 0.041 | 1 | 0.041 | 11.35 | 0.0119 * |
x3 | 0.20 | 1 | 0.20 | 54.57 | 0.0002 ** |
x1×2 | 0.50 | 1 | 0.50 | 140.84 | <0.0001 ** |
x1×3 | 0.17 | 1 | 0.17 | 46.96 | 0.0002 ** |
x2×3 | 0.11 | 1 | 0.11 | 29.51 | 0.0010 ** |
0.78 | 1 | 0.78 | 217.76 | <0.0001 ** | |
0.47 | 1 | 0.47 | 130.25 | <0.0001 ** | |
0.10 | 1 | 0.10 | 29.27 | 0.0010 ** | |
Residual | 0.025 | 7 | 0.0035 | ||
Lack of Fit | 0.0033 | 3 | 0.0011 | 0.21 | 0.8864 |
Pure Error | 0.022 | 4 | 0.0054 | ||
Cor Total | 3.07 | 16 | |||
= 0.9814; CV (Coefficient of Variation) = 4.88%; Adeq precious = 82.66. |
Levels | Variation Coefficient of Seeding Uniformity Y1/% | Coefficient of Variation for Consistency of Seed Quantity in Each Row Y2/% |
---|---|---|
1 | 6.03% | 3.58% |
2 | 5.35% | 3.29% |
3 | 6.49% | 2.80% |
4 | 7.06% | 3.71% |
5 | 6.03% | 3.82% |
Average | 6.19% | 3.44% |
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Duan, Y.; Xiang, W.; Lv, J.; Yan, B.; Hu, Y.; Wu, M. Research on Seeding Performance of Self-Propelled Industrial Hemp Seeder. Appl. Sci. 2022, 12, 8079. https://doi.org/10.3390/app12168079
Duan Y, Xiang W, Lv J, Yan B, Hu Y, Wu M. Research on Seeding Performance of Self-Propelled Industrial Hemp Seeder. Applied Sciences. 2022; 12(16):8079. https://doi.org/10.3390/app12168079
Chicago/Turabian StyleDuan, Yiping, Wei Xiang, Jiangnan Lv, Bo Yan, Yao Hu, and Mingliang Wu. 2022. "Research on Seeding Performance of Self-Propelled Industrial Hemp Seeder" Applied Sciences 12, no. 16: 8079. https://doi.org/10.3390/app12168079
APA StyleDuan, Y., Xiang, W., Lv, J., Yan, B., Hu, Y., & Wu, M. (2022). Research on Seeding Performance of Self-Propelled Industrial Hemp Seeder. Applied Sciences, 12(16), 8079. https://doi.org/10.3390/app12168079