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Wheat Growth Process 3D Visualization Research Based on Growth Model

Abstract : With the rapid development of computer virtual technology and agricultural information technology, crop Three-Dimensional (3D) visualization plays an increasingly important part in predicting crop growth dynamic, planting management, and crop breeding. Due to the complexity of wheat morphological structure, as well as big difference on morphological characteristics at different stages, it is a big challenge to build the wheat growth 3D visualization. In this study, the field experiments were carried out from 2015 to 2016 at Tianjin in China, including 3 wheat cultivars under 3 nitrogen application levels. Based on the field experiment, the wheat morphological data, such as length, width, bending angle of leaf, stem and leaf angle, stem diameter, etc., were collected periodically. Then, the quantitative relationship between wheat morphological data and effective accumulated temperature was analyzed, and the growth simulation models of leaf length, maximum leaf width, leaf height and plant height were built by logistic equation. Based the mode test, the logistic model could predicate the wheat leaf growth precisely. Based on the wheat morphological characteristic parameters and topology structure, we established construction algorithm of wheat leaf main vein control point using parameterized modeling method based on curve and curved surface. With the aid of Non-Uniform Rational B-Splines (NURBS) technology and OpenGL graphics library, the wheat organs geometric models were constructed, such as leaf, leaf sheath, stem etc. As a result, Wheat growth simulation model, which was constructed by the effective accumulated temperature, could better predict wheat growth status. Combined with wheat morphological structure model, growth visualization of different varieties wheat under different nitrogen levels was realized, and 3D visualization of wheat growth process was finally realized. The 3D visualization mode can provide wheat crop growth dynamic prediction, cultivation management control and crop plant type design, provide strong technical support for wheat crop ideal plant type screening, high yield, high efficiency, lodging resistance, etc.
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Hailong Liu, Shuqin Li, Yeping Zhu, Shengping Liu, Shijuan Li. Wheat Growth Process 3D Visualization Research Based on Growth Model. 11th International Conference on Computer and Computing Technologies in Agriculture (CCTA), Aug 2017, Jilin, China. pp.217-231, ⟨10.1007/978-3-030-06137-1_21⟩. ⟨hal-02124232⟩



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