Atomization Characteristics of a Hollow Cone Nozzle for Air-Assisted Variable-Rate Spraying
Abstract
:1. Introduction
2. Materials and Methods
2.1. Overall Design of the Test Bench
2.1.1. System Hardware Structure
2.1.2. System Software
2.2. Measurement Method
2.3. Droplet-Related Parameters
- Dv0.1: 10% of the total volume is carried by droplets lower than Dv0.1.
- Dv0.5: 50% of the total volume is carried by droplets lower than Dv0.5.
- Dv0.9: 90% of the total volume is carried by droplets lower than Dv0.9.
2.4. Data Processing and Analysis
3. Results
3.1. The Characteristics of Volume Median Diameter and Multiple Linear Regression Significance Analysis
3.1.1. The Characteristics of Volume Median Diameter
3.1.2. Multiple Linear Regression Significance Analysis of Volume Median Diameter
3.2. The Characteristics of Relative Span and Multiple Linear Regression Significance Analysis
3.2.1. The Characteristics of Relative Span
3.2.2. Multiple Linear Regression Significance Analysis of Relative Span
3.3. The Characteristics of Droplet Velocity and Multiple Linear Regression Significance Analysis
3.3.1. The Characteristics of Droplet Velocity
3.3.2. Multiple Linear Regression Significance Analysis of Droplet Velocity
4. Discussion
- 1.
- Through the analysis of the multiple linear regression equation and Figure 4a, it can be seen that when the pressure is 1 MPa, along the Y-axis direction, farther away from the centreline of the nozzle, Dv0.5 first increases and then decreases rapidly. The main reason is that the spray field of the nozzle is a hollow cone, and the centre position entrains small droplets. With the increase in the distance from the centreline of the nozzle, Dv0.5 gradually increases until the maximum peak of the axis (the fog-shaped edge of the cone spray), and Dv0.5 far away from the fog-shaped edge drops sharply. This part is mainly due to the influence of the air at the edge of the droplet field, which has a certain amount of small droplets outside the edge of the drifting spray field. In Figure 4b, when Y = 0.1 m, Y = 0.2 m, Y = 0.3 m, and Y = 0.4 m, Dv0.5 increases first, then decreases and then increases with an increasing longitudinal X-axis distance. The main reason is that in the measurement process, the first measurement is the drift of small droplets outside the edge of the hollow cone spray field. As the distance increases, Dv0.5 gradually increases. There are small droplets in the interior of the hollow cone spray field, all of which are small droplets. Dv0.5 drops sharply. When the X value is further increased, the hollow effect of the droplets affected by their own gravity is no longer obvious. The large droplets above the same horizontal plane of the nozzle gradually fall to the measurement point, resulting in Dv0.5 gradually increasing with an increasing X distance. When X = 1.8 m and X = 2.4 m, Dv0.5 along the Y direction is in the range of 120~140 μm. Compared with Dv0.5 at distances of X = 0.6 m, X = 0.8 m, and X = 1.2 m, the peak value is small, and the fluctuation of Dv0.5 at each point is relatively stable. The main reason is that the peak measuring point of Dv0.5 is located at the edge of the spray field at X = 0.6 m, X = 0.8 m, and X = 1.2 m. Through the analysis of Hu et al. [37], it can be seen that droplets with large particle sizes have a short propagation distance, uneven distribution, and poor spray effect. Due to the influence of the droplet’s own gravity, as the distance from the nozzle orifice increases, the air speed effect at the edge position is no longer obvious, resulting in droplets with larger values of Dv0.5 that cannot be measured at the next point. Therefore, the peak value of the Dv0.5 falling at a close distance is greater than the peak value of Dv0.5 falling at a long distance. The optimal biological particle size for flying insects is 10~50 μm. According to the linear regression equation, even if the longitudinal distance X, the transverse distance Y, and the spray pressure P reach the best state, the droplet size cannot be satisfied in the range of 10~50 μm. The spray pressure is negatively correlated with droplet size. If the system continues to increase the pressure to reduce the volume medium diameter, the hardware requirements of the system will be enhanced. Nuyttens et al. [23] found that the nozzle type, equivalent hole diameter, and other factors can reduce the droplet size. The droplet size under the influence of other factors can continue to be improved in the future.At different pressure conditions, Dv0.5 decreases as spray pressure increases at the same measurement position. Dv0.5 increases with an increasing X value and the variation law along the Y-axis is the same as that at a pressure of 1 MPa. Since the standardized orchard row spacing is 4~5 m, the median diameter of the volume gradually increases along the centreline of the nozzle. When the distance is greater than 2.5 m, the air force has little effect on the droplets, and it can be ignored. Dv0.5 gradually decreases with an increasing X value. When the farthest distance from the centreline of the nozzle is Y = 0.5 m, Dv0.5 does not change significantly with an increasing X value. The main reason is that small-volume droplets with stable drift are measured outside the spray field.
- 2.
- Through the analysis of the multiple linear regression equation, it can be seen that when the pressure is 1 MPa, as the X value increases, the relative span increases gradually. By comparing and analysing the relationship between the relative span and Dv0.5, Hewitt [38] found that the laws of relative span and Dv0.5 are similar. The relative span gradually increases when Dv0.5 increases. Through Dv0.5 in Figure 4b and the relative span in Figure 6b, when Y = 0.1, Y = 0.2, Y = 0.3, and Y = 0.4 m, with an increasing distance in the X direction, Dv0.5 varies greatly from outside the edge of the spray field to the edge of the spray field and into the spray field, resulting in the relative span not changing positively with the change in Dv0.5. However, under relatively stable conditions inside the spray field, the relative span still satisfies the above law. At distances of X = 0.4 m, X = 0.6 m, X = 0.8 m, and X = 1.2 m, due to the hollow effect of the close-range conical spray field, the range of the droplet size near the edge of the spray field gradually increases. The relative span gradually increases in the Y direction. The relative span outside the edge of the spray field continues to increase, but Dv0.5 decreases. The main reason is that the air at the edge of the spray field is unstable, so the fluctuation range of the measured droplet size is large, resulting in a large relative span of the actual measurement. With an increasing X value, the relative span increases because the hollow effect of the cone spray gradually decreases. Different from the variation trend of the relative span at distances of X = 0.4 m, X = 0.6 m, X = 0.8 m, and X = 1.2 m, the relative span first increases and then decreases with an increasing Y-value when X = 1.8 m and X = 2.4 m. The main reason for this result is that as the X value increases, the Y-value from the centreline of the nozzle is at the edge of the spray field, and the large droplets are less affected by the air field. When it has not yet reached X = 1.8 m, it falls below the measurement point, resulting in a decrease in the relative span.At different pressure conditions, the relative span at X = 1.8 m does not change significantly at each measurement position, and the size fluctuates by approximately 1.2. Hewitt [32] proposed some reasonable suggestions on how to reduce the relative span of the droplet spectrum. For example, using a rotating disk and studying the shear viscosity of the liquid can change the relative span of the droplet. At the centreline of the nozzle, Y = 0 m, the relative span gradually increases with an increasing X distance. The main reason for this result is that as X increases, the hollow effect gradually decreases, the larger droplet size gradually falls to the measurement point, and the droplet size range increases. Through the study of Maciel et al. [39], it is found that the relative span decreases with the increase in air speed, and a small relative span can better show a narrow droplet spectrum. In the future, the optimal effective particle size range can be determined by studying the variation of spatial droplet size and relative span under different air speed conditions and combining it with the needs of pest control.
- 3.
- Through the analysis of the multiple linear regression equation, it can be seen that when the pressure is 1 MPa, with the distance from the nozzle orifice being farther, the droplet velocity value decreases with the Y-axis, and its change rate is also smaller. The main reason for this result is that the X value is small. The cross-section of the spray field is small. The droplet velocity at the centre position is high and varies greatly at each measurement point position. The droplet velocity at the edge of the spray field decreases more obviously. When X = 1.8 m and X = 2.4 m, the droplet velocity fluctuates less at each measurement point. The droplet velocity increases first and then decreases from the centre of the spray field to the edge, which is inconsistent with the gradual decrease in the droplet velocity from the centre to the edge studied by Li et al. [24]. The main reason is that in the actual spraying process, the axial flow fan will produce a certain amount of air direction offset after a certain distance from the outlet of the fan, which leads to the maximum air speed position not being on the centreline of the nozzle X = 1.8 m and X = 1.2 m. The change in the droplet velocity at the positions of Y = 0.2 m, Y = 0.3 m, and Y = 0.4 m from the centreline of the nozzle first increases and then decreases with an increasing X value. The main reason for this result is that when the X value is small, the three measurement points are at the edge of the air field and the velocity is small. As the X value increases, the air field section gradually increases, approaching the centre of the air field. The droplet velocity gradually increases. When the X value continues to increase, the droplet velocity gradually decreases due to the influence of air resistance.Under different pressure conditions, the droplet velocity does not change significantly at each measurement position under the condition of an external air field. The variation trend of the droplet velocity is similar to the droplet velocity at the X = 1.8 m transverse position and Y = 0 m longitudinal position at a pressure of 1 MPa.
5. Conclusions
- 1.
- At the position of X = 1.8 m, Dv0.5 at different pressure conditions is in the range of 120150 μm, which is within the range of the best droplet size of 30150 μm for the control of crop leaf reptile larvae and plant diseases. The significance analysis of multiple linear regression showed that the longitudinal distance, transverse distance, and spray pressure had significant effects on droplet size. The multiple linear regression model of the volume median diameter was established. The determination coefficient R2 of the model fitting degree is 0.7769.
- 2.
- The significance analysis of multiple linear regression shows that the spatial position has a significant effect on the relative span. When the spray pressure P and the lateral distance Y interact with each other, the relative span has a significant effect. The multiple linear regression model of the relative span was established. The model fitting degree determination coefficient R2 is 0.9409, and the fitting degree is high. According to the analysis of the experimental results, as the distance from the nozzle orifice increases, the hollow effect of the spray field gradually decreases, resulting in a gradual increase in the relative span. For different types of pest control requirements, it is necessary to more accurately control the droplet size and study how to reduce the relative span at a long distance from the nozzle orifice.
- 3.
- The significance analysis of multiple linear regression shows that the longitudinal distance X, the transverse distance Y, and the spray pressure have a significant effect on the droplet velocity. The multiple linear regression model of the droplet velocity was established. The model fitting coefficient R2 is 0.8779. To determine the spraying effect at each position, the droplet deposition effect under the same conditions can be carried out in the orchard. The optimal speed of droplets can be determined by measuring the deposition characteristics and the control effect of pests and diseases. According to the multiple linear regression equation of speed, the reference is provided for the subsequent adjustment of fan speed to improve the droplet speed.
- 4.
- The phenomenon of droplet evaporation will exist in the process of movement, and the evaporation rate is affected by the physical properties of the liquid, the initial droplet size, and the ambient temperature, humidity, air speed, and other conditions during spray release. In the future, the evaporation law of droplets will be studied for different agents under different vapour pressure deficits and air speed conditions. Considering various experimental factors, the atomization characteristics of droplets will be explored, the variation law of droplet characteristics at different positions in space will be analysed, and a mathematical relationship model will be established to provide a theoretical basis for reducing droplet drift and evaporation.
Author Contributions
Funding
Institutional Review Board Statement
Data Availability Statement
Conflicts of Interest
References
- Lv, X.; Fu, X.; Song, J.; He, X. Influence of spray operating parameters on spray drift. Trans. Chin. Soc. Agric. Mach. 2011, 42, 59–63. [Google Scholar]
- Hewitt, A.J. Droplet size spectra classification categories in aerial application scenarios. Crop Prot. 2008, 27, 1284–1288. [Google Scholar] [CrossRef]
- Dou, H.; Zhai, C.; Chen, L.; Wang, X.; Zou, W. Comparison of orchard target-oriented spraying systems using photoelectric or ultrasonic sensors. Agriculture 2021, 11, 753. [Google Scholar] [CrossRef]
- Li, H.; Zhai, C.; Weckler, P.; Wang, N.; Yang, S.; Zhang, B. A canopy density model for planar orchard target detection based on ultrasonic sensors. Sensors 2016, 17, 31. [Google Scholar] [CrossRef] [PubMed]
- Dorr, G.; Hanan, J.; Adkins, S.; Hewitt, A.; O’Donnell, C.; Noller, B. Spray deposition on plant surfaces: A modelling approach. Funct. Plant Biol. 2008, 35, 988–996. [Google Scholar] [CrossRef] [PubMed]
- Griesang, F.; Spadoni, A.B.D.; Ferreira, P.H.U.; Ferreira, M.D.C. Effect of working pressure and spacing of nozzles on the quality of spraying distribution. Crop Prot. 2022, 151, 105818. [Google Scholar] [CrossRef]
- Gu, C.; Zou, W.; Wang, X.; Chen, L.; Zhai, C. Wind loss model for the thick canopies of orchard trees based on accurate variable spraying. Front. Plant Sci. 2022, 13, 1010540. [Google Scholar] [CrossRef]
- Zhai, C.; Wang, X.; Ge, J.; Ma, W. Design of droplet size measuring system of air-assisted spraying and experiment on its influencing factors. Trans. Chin. Soc. Agric. Eng. 2012, 28, 33–38. [Google Scholar] [CrossRef]
- Ellis, M.C.B.; Tuck, C.R.; Miller, P.C.H. How surface tension of surfactant solutions influences the characteristics of sprays produced by hydraulic nozzles used for pesticide application. Colloids Surf. A Physicochem. Eng. Asp. 2001, 180, 267–276. [Google Scholar] [CrossRef]
- Fritz, B.K.; Hoffmann, W.C. Measuring spray droplet size from agricultural nozzles using laser diffraction. J. Vis. Exp. 2016, 115, e54533. [Google Scholar] [CrossRef]
- Yuan, H.; Wang, G. Effects of droplet size and deposition density on field efficacy of pesticides. J. Plant Prot. 2015, 41, 9–16. [Google Scholar]
- Washington, J.R. Relationship between the spray droplet density of two protectsant fungicides and the germination of Mycosphaerella fijiensis ascospores on banana leaf surfaces. Pestic. Sci. 1997, 50, 233–239. [Google Scholar] [CrossRef]
- Jiang, Y.; Yang, Z.; Xu, X.; Shen, D.; Jiang, T.; Xie, B.; Duan, J. Wetting and deposition characteristics of air-assisted spray droplet on large broad-leaved crop canopy. Front. Plant Sci. 2023, 14, 1079703. [Google Scholar] [CrossRef] [PubMed]
- Forster, W.A.; Mercer, G.N.; Schou, W.C. Spray Droplet Impaction Models and their use within AGDISP Software to Predict Retention. N. Z. Plant Prot. 2012, 65, 85–92. [Google Scholar] [CrossRef]
- Li, J.; Li, Z.; Ma, Y.; Cui, H.; Yang, Z.; Lu, H. Effects of leaf response velocity on spray deposition with an air-assisted orchard sprayer. Int. J. Agric. Biol. Eng. 2021, 14, 123–132. [Google Scholar] [CrossRef]
- Li, L.; Hu, Z.; Liu, Q.; Yi, T.; Han, P.; Zhang, R.; Pan, L. Effect of flight velocity on droplet deposition and drift of combined pesticides sprayed using an unmanned aerial vehicle sprayer in a peach orchard. Front. Plant Sci. 2022, 13, 981494. [Google Scholar] [CrossRef]
- Durickovic, B.; Varland, K. Between Bouncing and Splashing: Water Drops on a Solid Surface; University of Arizona: Tucson, AZ, USA, 2005. [Google Scholar]
- Himel, C.M. The optimum size for insecticide spray droplets. J. Econ. Entomol. 1969, 62, 919–925. [Google Scholar] [CrossRef]
- Salyani, M. Droplet size effect on spray deposition efficiency of citrus leaves. Trans. ASAE 1988, 31, 1680–1684. [Google Scholar] [CrossRef]
- Fritz, B.K.; Kirk, I.W.; Hoffmann, W.C.; Martin, D.E.; Hofman, V.L.; Hollingsworth, C.; McMullen, M.; Halley, S. Aerial application methods for increasing spray deposition on wheat heads. Appl. Eng. Agric. 2006, 22, 357–364. [Google Scholar] [CrossRef]
- Dai, Q.; Hong, T.; Song, S.; Li, Z.; Chen, J. Influence of pressure and pore diameter on droplet parameters of hollow cone nozzle in pipeline spray. J. Trans. Chin. Soc. Agric. Eng. 2016, 32, 97–103. [Google Scholar]
- Li, X.; Chen, L.; Tang, Q.; Li, L.; Cheng, W.; Hu, P.; Zhang, R. Characteristics on the spatial distribution of droplet size and velocity with difference adjuvant in nozzle spraying. Agronomy 2022, 12, 1960. [Google Scholar] [CrossRef]
- Nuyttens, D.; Schampheleire, M.D.; Verboven, P.; Brusselman, E.; Dekeyser, D. Droplet size and velocity characteristics of agricultural sprays. Trans. ASABE 2009, 52, 1471–1480. [Google Scholar] [CrossRef]
- Li, S.; Chen, C.; Wang, Y.; Kang, F.; Li, W. Study on the atomization characteristics of flat fan nozzles for pesticide application at low pressures. Agriculture 2021, 11, 309. [Google Scholar] [CrossRef]
- Zwertvaegher, I.K.; Verhaeghe, M.; Brusselman, E.; Verboven, P.; Lebeau, F.; Massinon, M.; Nicolaï, B.M.; Nuyttens, D. The impact and retention of spray droplets on a horizontal hydrophobic surface. Biosyst. Eng. 2014, 126, 82–91. [Google Scholar] [CrossRef]
- Li, J.; Cui, H.; Ma, Y.; Xun, L.; Li, Z.; Yang, Z.; Lu, H. Orchard spray study: A prediction model of droplet deposition states on leaf surfaces. Agronomy 2020, 10, 747. [Google Scholar] [CrossRef]
- Wei, X.; Yu, D.; Bai, J.; Jiang, S. Static spray deposition distribution characteristics of PWM-based intermittently spraying system. Trans. Chin. Soc. Agric. Eng. 2013, 29, 19–24. [Google Scholar]
- Wei, Z.; Zhu, H.; Zhang, Z.; Salcedo, R.; Duan, D. Droplet size spectrum, activation pressure, and flow rate discharged from PWM flat-fan nozzles. Trans. ASABE 2021, 64, 313–325. [Google Scholar] [CrossRef]
- Adams, A.J.; Chappie, A.C.; Hall, F.R. Droplet spectra for some agricultural fan nozzles, with respect to drift and biological efficiency. In Pesticide Formulations and Application Systems; Bode, L., Hazen, J., Chasin, D., Eds.; American Society for Testing and Materials: West Conshohocken, PA, USA, 1990; pp. 156–169. [Google Scholar]
- Fritz, B.K.; Hoffmann, W.C.; Bagley, W.E.; Kruger, G.R.; Czaczyk, Z.; Henry, R.S. Measuring droplet size of agricultural spray nozzles-measurement distance and airspeed effects. At. Sprays 2014, 24, 747–760. [Google Scholar] [CrossRef]
- Carvalho, F.K.; Antuniassi, U.R.; Chechetto, R.G.; Mota, A.A.B.; de Jesus, M.G.; de Carvalho, L.R. Viscosity, surface tension and droplet size of sprays of different formulations of insecticides and fungicides. Crop Prot. 2017, 101, 19–23. [Google Scholar] [CrossRef]
- Hewitt, A.J. Spray optimization through application and liquid physical property variables–I. Environmentalist 2007, 28, 25–30. [Google Scholar] [CrossRef]
- Dong, X.; Zhang, T.; Yan, M.; Yang, X.; Yan, H.; Sun, X. Design and experiment of 3WPZ-4 type air-assisted grape sprayer. Trans. Chin. Soc. Agric. Mach. 2018, 49, 205–213. [Google Scholar]
- Dou, H.; Zhai, C.; Wang, X.; Zou, W.; Li, Q.; Chen, L. Design and experiment of the orchard target variable spraying control system based on LiDAR. Trans. Chin. Soc. Agric. Eng. 2022, 38, 11–21. [Google Scholar] [CrossRef]
- Marin, E.; Matache, M.; Nitu, M.; Gheorghe, G. Experimental researches regarding assessment of coverage degree obtained by orchard spraying machine. In Proceedings of the 16th International Scientific Conference Engineering for Rural Development, Jelgava, Letonia, 24–26 May 2017; pp. 1239–1243. [Google Scholar] [CrossRef]
- Wang, Y.; Sui, S. Mathematical Statistics and MATLAB Data Analysis, 2nd ed.; Tsinghua University Press: Beijing, China, 2014; pp. 177–193. [Google Scholar]
- Hu, G.; Xu, L.; Zhou, H.; Cui, Y. Analysis of multi-factor influence on droplet size distribution of hollow cone nozzle. J. Nanjing For. Univ. Nat. Sci. Ed. 2014, 38, 133–136. [Google Scholar] [CrossRef]
- Hewitt, A.J. Droplet size spectra produced by air-assisted atomizers. J. Aerosol. Sci. 1993, 24, 155–162. [Google Scholar] [CrossRef]
- Maciel, C.F.S.; Teixeira, M.M.; Fernandes, H.C.; Zolnier, S.; Cecon, R. Droplet spectrum of a spray nozzle under different weather conditions. Cienc. Agron. 2018, 49, 430–436. [Google Scholar] [CrossRef]
Subsystem | Category | Model | Main Parameters | Company |
---|---|---|---|---|
Air speed control module | Frequency converter | 2.2G1-220 V | Power supply: single-phase power | Xuzhou Xinshengda |
supply of AC 220 V~240 V; | Automation Equipment | |||
Power: 2.2 kW; Current: 9.5 A. | Co., Ltd., Xuzhou, China | |||
Three-phase asynchronous motor | YE3- 100L1-4 | Power: 2.2 kW; Current: 5.05 A; | Taizhou Pusi | |
Power supply: AC 220 V; | Electromechanical | |||
Rated speed: 24 rad/s. | Co., Ltd., Taizhou, China | |||
Fan | AY-S-500 | Maximum speed: 24 rad/s; | Tianjin Chengen Technology Co., Ltd., Tianjin, China | |
Air volume: 10,000 m3/h; | ||||
Full pressure: 200 Pa. | ||||
Anemometer | 8455- CR1000X | Measuring range: 0.127~50.8 m/s; | Beijing Bolun Jingwei | |
Accuracy: ±2% of the reading value; | Technology Development | |||
Input voltage: DC 11 V~30 V. | Co., Ltd., Beijing, China | |||
Host computer | Notebook computer | HP DESKTOP- B0FOTJI | Input voltage: AC 100 V~240 V; | China Hewlett-Packard Co., Ltd., Beijing, China |
Current: 1.6 A. | ||||
Spray pressure control module | Frequency converter | 2.2G1-220 V | Power supply: single-phase power supply of AC 220 V~240 V; Power: 2.2 kW; Current: 9.5 A. | Xuzhou Xinshengda Automation Equipment Co., Ltd., Xuzhou, China |
Three-phase asynchronous motor | YE3-100L1-4 | Power: 2.2 kW; Current: 5.05 A; Power supply: AC 220 V. | Taizhou Pusi Electromechanical Co., Ltd., Taizhou, China | |
Plunger pump | 3WZB-80 | Working pressure: 1~3.5 MPa; Theoretical flow: 46~60 L/min. | Taizhou Huali Machinery Co., Ltd., Taizhou, China | |
Water tank | 300 | Capacity: 200 L. | Yutian Cangsheng Plastic Products Co., Ltd., Tangshan, China | |
Pressure sensor | AS-131 | Pressure range: 0~2.5 MPa; Output voltage: DC 0~5 V; Full-scale accuracy level: 1%. | Beijing Aosheng Automation Technology Co., Ltd., Beijing, China | |
Pressure regulating valve | FT100 | Input voltage: DC ± 12 V voltage to adjust the valve opening direction. | Ningbo Licheng Agricultural Spray Technology Co., Ltd., Ningbo, China | |
Controller | HSC37 | 12 PWM outputs; 4 pulse inputs; 6 analogue inputs; The field-programmable controller is developed based on the CoDeSys V2.3 software platform. | Suzhou Hesheng Microelectronics Tech_x0002_nology Co., Ltd., Suzhou, China | |
Spray module | Flow sensor | SK-4040- HZ60 | Flow range: 1~30 L/min; 1 L flow corresponds to 596 pulses. | Zhongshan Qingong Sensor Co., Ltd., Zhongshan, China |
Solenoid valve | ZG1000 | Input voltage: DC 12 V; Pressure range: 0.03~1.6 MPa. | Dongguan City Zhonggu Fluid Technology Co., Ltd., Dongguan, China | |
Nozzle | QY82.317.22 | 360° rotatable adjustive hollow cone nozzle. | Zhejiang Qiangyu Machinery Co., Ltd., Zhuji, China |
Source of Variance | SS | df | MS | F | p | Significance |
---|---|---|---|---|---|---|
X2 | 517.0747 | 1 | 517.0747 | 4.3431 | 0.0391 | * |
Y2 | 6.97 × 103 | 1 | 6.97 × 103 | 58.5544 | p < 0.001 | ** |
X | 2.38 × 103 | 1 | 2.38 × 103 | 19.9664 | p < 0.001 | ** |
Y | 1.07 × 103 | 1 | 1.07 × 104 | 89.9598 | p < 0.001 | ** |
P | 2.31 × 103 | 1 | 2.31 × 103 | 19.3916 | p < 0.001 | ** |
XY | 717.205 | 1 | 717.205 | 6.0241 | 0.0155 | * |
Model | 2.32 × 104 | 6 | 3.87 × 103 | 32.4884 | p < 0.001 | ** |
Residual | 1.52 × 104 | 128 | 119.0554 | 2.946 | ||
Total | 3.84 × 104 | 134 | R2 = 0.7769 |
Source of Variance | SS | df | MS | F | p | Significance |
---|---|---|---|---|---|---|
X2 | 0.0768 | 1 | 0.0768 | 11.1868 | 0.0011 | ** |
Y2 | 0.1304 | 1 | 0.1304 | 18.9942 | p < 0.001 | ** |
X | 0.4388 | 1 | 0.4388 | 63.9266 | p < 0.001 | ** |
Y | 0.3148 | 1 | 0.3148 | 45.8542 | p < 0.001 | ** |
YP | 0.0391 | 1 | 0.0391 | 5.6995 | 0.0184 | * |
Model | 6.8324 | 6 | 1.3665 | 199.0739 | p < 0.001 | ** |
Residual | 0.8855 | 128 | 0.0069 | 3.1624 | ||
Total | 7.7179 | 134 | R2 = 0.9409 |
Source of Variance | SS | df | MS | F | p | Significance |
---|---|---|---|---|---|---|
X2 | 1.9968 | 1 | 1.9968 | 5.2371 | 0.0237 | * |
X | 14.6971 | 1 | 14.6971 | 38.547 | p < 0.001 | ** |
Y | 58.2808 | 1 | 58.2808 | 152.8568 | p < 0.001 | ** |
P | 1.5562 | 1 | 1.5562 | 4.0816 | 0.0454 | * |
XY | 41.515 | 1 | 41.515 | 108.884 | p < 0.001 | ** |
XP | 1.5155 | 1 | 1.5155 | 3.9748 | 0.0483 | * |
Model | 164.0794 | 6 | 27.3466 | 71.7236 | p < 0.001 | ** |
Residual | 48.8035 | 128 | 0.3813 | 2.946 | ||
Total | 212.8829 | 134 | R2 = 0.8779 |
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Yuan, F.; Gu, C.; Yi, K.; Dou, H.; Li, S.; Yang, S.; Zou, W.; Zhai, C. Atomization Characteristics of a Hollow Cone Nozzle for Air-Assisted Variable-Rate Spraying. Agriculture 2023, 13, 1992. https://doi.org/10.3390/agriculture13101992
Yuan F, Gu C, Yi K, Dou H, Li S, Yang S, Zou W, Zhai C. Atomization Characteristics of a Hollow Cone Nozzle for Air-Assisted Variable-Rate Spraying. Agriculture. 2023; 13(10):1992. https://doi.org/10.3390/agriculture13101992
Chicago/Turabian StyleYuan, Feixiang, Chenchen Gu, Kechuan Yi, Hanjie Dou, Si Li, Shuo Yang, Wei Zou, and Changyuan Zhai. 2023. "Atomization Characteristics of a Hollow Cone Nozzle for Air-Assisted Variable-Rate Spraying" Agriculture 13, no. 10: 1992. https://doi.org/10.3390/agriculture13101992
APA StyleYuan, F., Gu, C., Yi, K., Dou, H., Li, S., Yang, S., Zou, W., & Zhai, C. (2023). Atomization Characteristics of a Hollow Cone Nozzle for Air-Assisted Variable-Rate Spraying. Agriculture, 13(10), 1992. https://doi.org/10.3390/agriculture13101992