Skip to main content
Log in

Simulation of apple tree branch growth using an improved point-cloud-boundary-constraint model

  • Published:
Multimedia Tools and Applications Aims and scope Submit manuscript

Abstract

The apple is a valuable commercial crop. Morphological information on and visual simulation of the apple plant are critical for precise and scientific field management during its growth period. However, the complex morphological structure of apple trees make it difficult to simulate the growth process. According to the pipeline model theory, branches play a key role in the growth process of apple trees. In this study, an improved semi-Markov-based point cloud boundary constraint is proposed to simulate the growth process of apple tree branches. To improve simulation accuracy, the point cloud data of the dormant, bud, strip-pulling, and leaf curtain stable stages of the apple tree were continuously collected, and the point cloud boundaries of various growing stages were extracted to obtain constrains for the growth process of branches. The results revealed that the improved semi-Markov-based point cloud boundary constraint model can achieve highly accurate simulation of the growth process of apple tree branches, with an average branch reconstruction rate of test samples in various growth periods and an average skeleton point coincidence rate of 93.0% and 90.8%, respectively.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13

Similar content being viewed by others

References

  1. Bucksch A, Lindenbergh R (2008) CAMPINO — A skeletonization method for point cloud processing - ScienceDirect. ISPRS J Photogramm Remote Sens 63(1):115–127

    Article  Google Scholar 

  2. Chang C, Zhang J, Geng N et al (2019) Key techniques of L-system parallelization. Comput Eng Des 40(5):1349–1354 (in Chinese)

    Google Scholar 

  3. Costes E, Sinoquet H, Kelner JJ et al (2003) Exploring within-tree architectural development of two apple tree cultivars over 6 years. Ann Bot 91(1):91–104

    Article  Google Scholar 

  4. Durand JB, Guédon Y, Caraglio Y et al (2010) Analysis of the plant architecture via tree-structured statistical models: the hidden Markov tree models. New Phytol 166(3):813–825

    Article  Google Scholar 

  5. Holton M (2010) Strands, gravity and botanical tree imagery. Comput Graph Forum 13(1):57–67

    Article  Google Scholar 

  6. Honda H (1971) Description of the form of trees by the parameters of the tree-like body: effects of the branching angle and the branch length on the shape of the tree-like body. J Theor Biol 31:331–338

    Article  Google Scholar 

  7. Jiang Z (2009) Study on simulating & virtual growth modeling of Sabina vulgaris[D]. Dong Hua University. (in Chinese)

  8. Lindenmayer A (1968) Mathematical models for cellular interactions in development II. Simple and branching flaments with two-sided inputs. J Theor Biol 18(3):300–315

    Article  Google Scholar 

  9. Lintermann B, Deussen O (1999) Interactive modeling of plants. IEEE Comput Graphics Appl 19(1):56–65

    Article  Google Scholar 

  10. Liu G, Si Y, Feng J (2014) 3D reconstruction of agriculture and forestry crops[J/OL]. Trans Chin Soc Agric Mach 45(6):38–46+19 (in Chinese)

    Google Scholar 

  11. Livny Y, Pirk S, Cheng Z et al (2011) Texture-lobes for tree modelling. Acm Trans Graph 30(4):1–10

    Article  Google Scholar 

  12. Prusinkiewicz P, Lindenmayar A (1990) The algorithmic beauty of plants[M]. Springer-Verlag Press, New York

    Book  Google Scholar 

  13. Quan L, Tan P, Zeng G et al (2006) Image-based plant modeling. Acm Trans Graph 25(3):599–604

    Article  Google Scholar 

  14. Shinozaki K, Yoda K, Hozumi K et al (1964) A quantitative analysis of plant form-the pipe model theory II. further evidence of the theory and its application in forest ecology. Jpn J Ecol 14(4):113–139

    Google Scholar 

  15. Shlyakhter I, Rozenoer M, Dorsey J et al (2001) Reconstructing 3D tree models from instrumented photographs. IEEE Comput Graphics Appl 21(3):53–61

    Article  Google Scholar 

  16. Tan P, Zeng G, Wang J et al (2007) Image-based tree modeling. ACM Trans Graph 26(3):87

    Article  Google Scholar 

  17. Wang D, Shao XN, Hu SJ et al (2016) Interactive pruning operation on virtual fruit tree based on kinect. J Agric Mechanization Res 10:187–192 (in Chinese)

    Google Scholar 

  18. Wang Y, Wang L, Deng Z et al (2017) Topologically consistent leafy tree morphing. Comput Animat Virt W 28(3–4):1761

  19. Wang K, Zhi Y, Chen H et al (2018) Research on space point cloud structuring algorithm based on Graham scanning algorithm. Mod Electron Tech 41(14):139–142+146 (in Chinese)

    Google Scholar 

  20. Xia Y, Pang Y, Liu L et al (2019) Forest height growth monitoring of cunninghamia lanceolata plantation using multi-temporal aerial photography with the support of high accuracy DEM. Scientia Silvae Sinicae 55(4):108–121 (in Chinese)

    Google Scholar 

  21. Xiong Y, Zhang G, Guo X et al (2009) Visual simulating growth of fruit tree branches based on Markov model. J Agric Mechanization Res 31(07):70–73+78 (in Chinese)

    Google Scholar 

  22. Zeng J, Zhang YF, Zhan S (2006) 3D Tree Models Reconstruction from a Single Image.[C]// International Conference on Intelligent Systems Design & Applications. IEEE Computer Society

  23. Zhang J, Li Z, Zhang N et al (2013) Advances in 3D information collection and reconstruction of crop based on the measured data. Journal of Huazhong Agricultural University 32(4):126–134 (in Chinese)

    Google Scholar 

  24. Zhang X, Wang X, Li C et al (2013) Overview of automated observation techniques for main crop growth parameters. Meteorol Sci Technol 41(6):1122–1127 (in Chinese)

    Google Scholar 

  25. Zhao C, Lu S, Guo X et al (2015) Advances in research of digital plant: 3D digitization of plant morphological structure. Scientia Agricultura Sinica 48(17):3415–3428 (in Chinese)

    Google Scholar 

Download references

Acknowledgements

This study is supported by Key Scientific Research Projects of Colleges and Universities in Henan Province(Grand No. 22B416002), Key R&D and Promotion Projects in Henan Province (Science and Technology Development) (Grand No. 222102110452 and Grand No. 232102110264), Experimental Technology Development Fund Project of Henan University of Science and Technology(Grand No. SY2021008) and PhD research startup foundation of Henan University of Science and Technology (Grand No. 13480033 and Grand No. 13480025).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Long Zhao.

Ethics declarations

Conflict of interest

Author Yi Shi has received research grants number 22B416002, 13480033, 222102110452 from Education Department of Henan Province, Henan University of Science and Technology and Science and Technology Department of Henan Province.

Author Long Zhao has received research grants number 232102110264, SY2021008, 13480025 from Science and Technology Department of Henan Province, Henan University of Science and Technology, Henan University of Science and Technology.

Author Shanshan Jin, Author Fei Wang and Author Hui Li declare that they have no conflict of interest.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Shi, Y., Jin, S., Zhao, L. et al. Simulation of apple tree branch growth using an improved point-cloud-boundary-constraint model. Multimed Tools Appl 83, 7417–7432 (2024). https://doi.org/10.1007/s11042-023-15943-4

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11042-023-15943-4

Keywords

Navigation