Visual Simulation of the Interaction Between Spray Droplets and Plant Canopy

  • Wei-long DingEmail author
  • Yan Xu
  • Zang-xin Wan
  • Lin-feng Luo
  • Jin Meng-jie
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 875)


Spraying pesticides for crops is a common phenomenon in the management process of crop planting, and a key factor influencing the development of plants and plant ecosystems. An effective method is therefore proposed to visually simulate the interaction between spraying droplets and a plant canopy. In this method, a model to describe spraying droplets was first built and then the spraying scene was simulated by using the technique of Particle Systems. The smoothed particle hydrodynamic (SPH) method was employed to simulate the physical laws of the spraying. The plant model was discretized to a skeleton with control points and the deformation of the plant under the influence of the spraying droplets was simulated. The experimental results showed that the proposed method can simulate this deformation.


Spray model Plant canopy Scene interaction Virtual plant model Visualization 



This work was supported by the National Natural Science Foundations of China (31471416, 61571400) and the Natural Science Foundations of Zhejiang Province (LY18C130012). The authors are grateful to the anonymous reviewers whose comments helped improve this paper.


  1. 1.
    Dorr, G.J., et al.: Combining spray drift and plant architecture modeling to minimize environmental and public health risk of pesticide application. In: Proceedings of 2005 International Congress on Modeling and Simulation. Melbourne, Australia, pp. 279–285 (2005)Google Scholar
  2. 2.
    Mercer, G., Sweatman, W.L., Elvin, A., et al.: Process driven models for spray retention by plants. In: Proceedings of the 2006 Mathematics in Industry Study Group, pp. 57–85. Mathematics in Industry study group Press, New Zealand (2006)Google Scholar
  3. 3.
    Robert, C., Fournier, C., Andrieu, B., Ney, B.: Coupling a 3D virtual wheat (Triticum aestivum) plant model with a Septoria tritici epidemic model (Septo3D): a new approach to investigate plant–pathogen interactions linked to canopy architecture. Funct. Plant Biol. 35(1–2), 997–1013 (2008)CrossRefGoogle Scholar
  4. 4.
    Li, J., Tang, L., Chen, C.: Visualization of canopy endophytes space distribution based on virtual plant. J. Central South Univ. Forest. Technol. 32(6), 138–141 (2012)Google Scholar
  5. 5.
    Hanan, J., Prusinkiewicz, P., Zalucki, M., et al.: Simulation of insect movement with respect to plant architecture and morphogenesis. Comput. Electron. Agric. 35, 255–269 (2002)CrossRefGoogle Scholar
  6. 6.
    Dorr, G., Hanan, J., Adkins, S., Hewitt, A., O’Donnell, C., Noller, B.: Spray deposition on plant surfaces: a modeling approach. Funct. Plant Biol. 35, 988–996 (2008)CrossRefGoogle Scholar
  7. 7.
    Dorra, G.J., Kempthorneb, D.M., Mayob, L.C., et al.: Towards a model of spray–canopy interactions: interception, shatter, bounce and retention of droplets on horizontal leaves. Ecol. Model. (2013). Scholar
  8. 8.
    Mercer, G., et al.: Process driven models for spray retention by plants. In: Proceedings of the 2006 Mathematics-In-Industry Study Group, New Zealand, Auckland, pp. 57–85 (2006)Google Scholar
  9. 9.
    Meng, Y., En-Hua, W.: Approach for physically-based animation of tree branches impacting by raindrops. J. Softw. 22(8), 1934–1947 (2011)CrossRefGoogle Scholar
  10. 10.
    Stam, J., Fiume, E.: Depicting fire and other gaseous phenomena using diffusion processes. In: Proceedings of SIGGRAPH, Los Angeles, pp. 129–136 (1995)Google Scholar
  11. 11.
    Desbrun, M., Gascuel, M.P.: Smoothed particles: a new paradigm for animating highly deformable bodies. In: Boulic, R., Hégron, G. (eds.) Computer Animation and Simulation 1996. Eurographics, pp. 61–76. Springer, Vienna (1996). Scholar
  12. 12.
  13. 13.
  14. 14.
    Monaghan, J.J.: An introduction to SPH. Comput. Phys. Commun. 48(1), 89–96 (1988)CrossRefGoogle Scholar
  15. 15.
    Nielsen, M.B., Sterby, O.: A two-continua approach to Eulerian simulation of water spray. ACM Trans. Graph. 32(4), 67 (2013)CrossRefGoogle Scholar
  16. 16.
    Ji, Z., Zhang, J.: Programmable GPU technology in skeletal animation. Comput. Eng. Appl. 44(22), 77–80 (2008)Google Scholar
  17. 17.
    Weilong, D., Tao, X., Lifeng, X., et al.: Calculation method of rice canopy leafarea based on virtual model. Trans. CASE 33(2), 192–198 (2017)Google Scholar
  18. 18.
    Frasson, R.P.M., Krajewski, W.F.: Rainfall interception by maize canopy: development and application of a process-based model. J. Hydrol. 489, 246–255 (2013)CrossRefGoogle Scholar
  19. 19.
    Ding, W., Chen, S., Wu, F.: An simulation algorithm for simulate splashing process of raindrops based on physical laws. J. Zhejiang Univ. Technol. 42(5), 586–590 (2014)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Wei-long Ding
    • 1
    Email author
  • Yan Xu
    • 1
  • Zang-xin Wan
    • 1
  • Lin-feng Luo
    • 1
  • Jin Meng-jie
    • 1
  1. 1.College of Computer Science and TechnologyZhejiang University of TechnologyHangzhouChina

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