Issue |
Wuhan Univ. J. Nat. Sci.
Volume 27, Number 1, March 2022
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Page(s) | 85 - 92 | |
DOI | https://doi.org/10.1051/wujns/2022271085 | |
Published online | 16 March 2022 |
Information Technology
CLC number: TP391;S511
Visual Modeling of Rice Root Growth Based on B-Spline Curve
1 School of Computer and Information Engineering, Jiangxi Agricultural University, Nanchang 330045, Jiangxi, China
2 Key Laboratory of Agricultural Information Technology in Jiangxi Higher Education Institutions, Nanchang 330045, Jiangxi, China
Received: 1 December 2021
As a major food production crop in China, the growth and development of rice is an extremely complex systemic process, and the root system is the main organ for rice to obtain nutrients. Therefore, 3D modeling and visualization of the rice root system can help to further understand its morphology, structure and function, and provide an aid for scientific cultivation of rice and improving rice yield for decision making. In this paper, a mathematical model of the rice root system is established based on the B spline curve combined with the L-system approach, using mathematical knowledge based on the 3D morphological characteristics of the real rice root system. The B-Spline Curve is chosen to simulate this, and the recursive definition of B-Spline Curve and its formula are used to realize the modeling of the rice root system curve. Based on the mathematical method of rice root system integration, the bending effect of rice root system at different periods and different growth positions is realized. Finally, the L-system combined with B-Spline Curve is used to construct a rice root system model and realize the rice root system visualization simulation. The simulated image is closer to the real rice root system image in terms of morphological structure and has a strong sense of realism.
Key words: rice root system / visual modeling / L-system / B-Spline Curve
Biography: YANG Le, male, Associate professor, research direction: software formalization, automation and agricultural information technology. E-mail: jxnzhyangle@163.com
Foundation item: Supported by the National Natural Science Foundation of China (61862032) , the Project of Natural Science Foundation of Jiangxi Province (20202BABL202034) , and the Special Foundation of Graduate Student Innovation of Jiangxi Province (YC2021-S347)
© Wuhan University 2022
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