Simulation and visualization of spraying droplets behavior and deposition within virtual rice canopy
Keywords:
virtual rice plant, droplet deposition, behavior simulation, spray sceneAbstract
Models for accurately simulating pesticide droplet deposition and transmission mechanism in rice canopies can provide an effective and economic tool to optimize methods for spraying pesticides, adjuvant formulation, and spray parameters. However, the current studies on the modeling of spray droplet deposition within rice plants are still very limited. Aiming at this problem, a method to model and visualize spray transmission and deposition within the canopy of rice plants was proposed. Firstly, a particle system was used to simulate the spraying scene of droplets. Then an improved method to determine the behavior of rebound and shatter of the droplets in the virtual scene was proposed. The deposition of spraying droplets on a leaf was calculated according to the inclination angles of the leaf, the characteristics of the leaf surface, and the physical and spatial characteristics of the droplets. The experiment shows that the method can simulate the behavior of the spraying droplets within a virtual scene of a rice plant, which may provide a reference for the study of spray deposition in the canopy of the crop. Keywords: virtual rice plant, droplet deposition, behavior simulation, spray scene DOI: 10.25165/j.ijabe.20221505.7099 Citation: Ding W L, Zhu F L, Jin M J, Xu L F, Zhang Y P. Simulation and visualization of spraying droplets behavior and deposition within virtual rice canopy. Int J Agric & Biol Eng, 2022; 15(5): 19–27.References
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[23] Rutter A J, Kershaw K A, Robins P C, Morton A J. A predictive model of rainfall interception in forests. Derivation of the model from observations in a plantation of Corsican pine. Agricultural Meteorology, 1971; 9: 367–384.
[2] He X K. Improving severe draggling actuality of plant protection machinery and its application techniques. Transactions of the CSAE, 2004; 20(1): 13–15. (in Chinese)
[3] Song S R, Wang W X, Hong T S, Wang P, Luo X W. Testing research on effects of top layer rice fog drop interception on pesticide spraying distribution in rice fields. Transactions of the CSAE, 2003; 19(6): 114–117. (in Chinese)
[4] Huang S W, Liu L M, Wang L, Liu E Y, Fang Z L, Xiao F D. Effects of application volume and approaches of pesticide on controlling major pests and diseases on different plant type rice at late growth stage. Chinese Journal of Rice Science, 2012; 26(2): 211–217. (in Chinese)
[5] Smith D B, Shaw D R, Boyette M, Askew S D, Morris W H. Droplet size and leaf morphology effects on pesticide spray deposition. Transactions of the ASAE, 2000; 43(2): 255–259.
[6] Yang X W, Dai M L, Song J L, Zhao J K, He X K. Effect of droplet size, leaf characteristics and angle on pesticide deposition. Transactions of the CSAE, 2012; 28(3): 70–73. (in Chinese)
[7] Yang M G, Wu E H. Approach for physically-based animation of tree branches impacting by raindrops. Journal of Software, 2011; 22(8): 1934–1947. (in Chinese)
[8] Rutter A J, Morton A J. A predictive model of rainfall interception in forests. III. Sensitivity of the model to stand parameters and meteorological variables. Journal of Applied Ecology, 1977; 14(2): 567–588.
[9] Biroun M H, Rahmati M, Tao R, Torun H, Jangi M, Fu Y Q. Dynamic behavior of droplet impact on inclined surfaces with acoustic waves. Langmuir, 2020; 36(34): 10175–10186
[10] Mao T, Kuhn D C S, Tran H. Spread and rebound of liquid droplets upon impact on flat surfaces. Aiche Journal, 1997; 43(9): 2169–2179.
[11] Gary J D, Forster W A, Lisa C M, McCue S W, Kempthorne D M, Hanan J. Spray retention on whole plants: modelling, simulations and experiments. Crop Protection, 2016; 88: 118–130.
[12] Li J, Cui H J, Ma Y K, Xun L, Li Z Q, Yang Z, et al. Orchard spray study: a prediction model of droplet deposition states on leaf surfaces. Agronomy, 2020; 10(5): 747. doi: 10.3390/agronomy10050747.
[13] Liu Y Q, Liu X H, Wu E H. Real-time 3D fluid simulation on GPU with complex obstacles. Proceedings of Pacific Conference on Computer Graphics and Applications, IEEE, 2004; pp.247–256.
[14] Abbott J P R, Zhu H P, Ambrose A E. Impact and adhesion of surfactant-amended water droplets on leaf surfaces related to roughness. Transactions of the ASABE, 2020; 63(6): 1855–1868.
[15] Mundo C, Sommerfeld M, Tropea C. Droplet-wall collisions: Experimental studies of the deformation and breakup process. International Journal of Multiphase Flow, 1995; 21(2): 151–173.
[16] Dorr G J, Hanan J, Woods N, Ricci P, NollerDorr B. Combining spray drift and plant architecture modeling to minimise environmental and public health risk of pesticide application. International Congress on Modelling
and Simulation (MODSIM05), 2005; 1(3): 1499–1500.
[17] Yi X Y, Zhu Y J, Yang J M. Influence mechanism of initial deformation of droplets after excitation waves under similar Weber number conditions. Explosion and Shock Waves, 2018; 38(3): 525–533.
[18] Forster W A, Mercer G N, Schou W C. Process-driven models for spray droplet shatter, adhesion or bounce. Proc. Int. Symp. Adj. Agrochem, 2010; pp.277–285.
[19] Song C F, Peng Q S, Ding Z A, Tu X L, Zhang Y B, Chen W, et al. Sketch-based modeling and animation of floral blossom. Journal of Software, 2007; 18(Supp): 45−53. (in Chinese)
[20] Yi L, Lee R R, Chu H K, Chang C F. A simulation on grass swaying with dynamic wind force. ACM SIGGRAPH Symposium on Interactive
3D Graphics and Games, ACM, 2016; pp.181–181.
[21] Song S R, Wang W X, Hong T S, Wang P, Luo X W. Experimental study on the influence of spray droplet interception on the top layer of pesticide spray in paddy field. Acta Agri Engineering, 2004; 19(6): 114–117.
[22] Yan M D, Jia W D, Mao H P, Dong X, Chen L. Experiment on spray droplet size and velocity distribution of air curve spray rod. Transactions of the CSAM, 2014; 45(11): 104–110. (in Chinese)
[23] Rutter A J, Kershaw K A, Robins P C, Morton A J. A predictive model of rainfall interception in forests. Derivation of the model from observations in a plantation of Corsican pine. Agricultural Meteorology, 1971; 9: 367–384.
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Published
2022-11-01
How to Cite
Ding, W., Zhu, F., Jin, M., Xu, L., & Zhang, Y. (2022). Simulation and visualization of spraying droplets behavior and deposition within virtual rice canopy. International Journal of Agricultural and Biological Engineering, 15(5), 19–27. Retrieved from https://ijabe.migration.pkpps03.publicknowledgeproject.org/index.php/ijabe/article/view/7099
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Applied Science, Engineering and Technology
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