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