Research on key technologies of crop growth process simulation model and morphological 3D visualization
According to the demand of digitized analysis and visualization representation of crop yield formation and variety adaptability analysis, aiming at improving the timeliness, coordination and sense of reality of crop simulation model, key technologies of crop growth process simulation model and morph...
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| Format: | Article |
| Language: | English |
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Editorial Office of Smart Agriculture
2019-02-01
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| Series: | 智慧农业 |
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| Online Access: | http://www.smartag.net.cn/fileup/2096-8094/PDF/201901-SA005.pdf |
| _version_ | 1798018522494795776 |
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| author | Zhu Yeping, Li Shijuan, Li Shuqin |
| author_facet | Zhu Yeping, Li Shijuan, Li Shuqin |
| author_sort | Zhu Yeping, Li Shijuan, Li Shuqin |
| collection | DOAJ |
| description | According to the demand of digitized analysis and visualization representation of crop yield formation and variety adaptability analysis, aiming at improving the timeliness, coordination and sense of reality of crop simulation model, key technologies of crop growth process simulation model and morphological 3D visualization were studied in this research. The internet of things technology was applied to collect the field data. The multi-agent technology was used to study the co-simulation method and design crop model framework. Winter wheat (Triticum aestivum L.) was taken as an example to conducted filed test, the 3D morphology visualization system was developed and validated. Taking three wheat varieties, Hengguan35 (Hg35), Jimai22 (Jm22) and Heng4399 (H4399) as research objects, logistic equation was constructed to simulate the change of leaf length, maximum leaf width, leaf height and plant height. Parametric modeling method and 3D graphics library (OpenGL) were used to build wheat organ geometry model so as to draw wheat morphological structure model. The R2 values of leaf length, maximum leaf width, leaf height and plant height were between 0.772-0.999, indicating that the model has high fitting degree. F values (between 10.153-4359.236) of regression equation and Sig. values (under 0.05) show that the model has good significance. Taking wheat as example, this research combined wheat growth model and structure model effectively in order to realize the 3D morphology visualization of crop growth processes under different conditions, it will provide references for developing the crop simulation visualization system, the method and related technologies are suitable for other field crops such as corn and rice, etc. |
| first_indexed | 2024-04-11T16:25:40Z |
| format | Article |
| id | doaj.art-5eb1331bd2094c5784d005f4f0f56fe8 |
| institution | Directory Open Access Journal |
| issn | 2096-8094 |
| language | English |
| last_indexed | 2024-04-11T16:25:40Z |
| publishDate | 2019-02-01 |
| publisher | Editorial Office of Smart Agriculture |
| record_format | Article |
| series | 智慧农业 |
| spelling | doaj.art-5eb1331bd2094c5784d005f4f0f56fe82022-12-22T04:14:11ZengEditorial Office of Smart Agriculture智慧农业2096-80942019-02-0111536610.12133/j.smartag.2019.1.1.201901-SA005Research on key technologies of crop growth process simulation model and morphological 3D visualizationZhu Yeping, Li Shijuan, Li Shuqin01. Agricultural Information Institute, Chinese Academy of Agricultural Sciences/Key Laboratory of Agri-information Service Technology, Ministry of Agriculture and Rural Affairs, Beijing 100081, China;2. Information Center, North China University of Technology, Beijing 100144, ChinaAccording to the demand of digitized analysis and visualization representation of crop yield formation and variety adaptability analysis, aiming at improving the timeliness, coordination and sense of reality of crop simulation model, key technologies of crop growth process simulation model and morphological 3D visualization were studied in this research. The internet of things technology was applied to collect the field data. The multi-agent technology was used to study the co-simulation method and design crop model framework. Winter wheat (Triticum aestivum L.) was taken as an example to conducted filed test, the 3D morphology visualization system was developed and validated. Taking three wheat varieties, Hengguan35 (Hg35), Jimai22 (Jm22) and Heng4399 (H4399) as research objects, logistic equation was constructed to simulate the change of leaf length, maximum leaf width, leaf height and plant height. Parametric modeling method and 3D graphics library (OpenGL) were used to build wheat organ geometry model so as to draw wheat morphological structure model. The R2 values of leaf length, maximum leaf width, leaf height and plant height were between 0.772-0.999, indicating that the model has high fitting degree. F values (between 10.153-4359.236) of regression equation and Sig. values (under 0.05) show that the model has good significance. Taking wheat as example, this research combined wheat growth model and structure model effectively in order to realize the 3D morphology visualization of crop growth processes under different conditions, it will provide references for developing the crop simulation visualization system, the method and related technologies are suitable for other field crops such as corn and rice, etc.http://www.smartag.net.cn/fileup/2096-8094/PDF/201901-SA005.pdf|crop simulation model|growth process visualization|morphology visualization|agent|technology 3d |
| spellingShingle | Zhu Yeping, Li Shijuan, Li Shuqin Research on key technologies of crop growth process simulation model and morphological 3D visualization 智慧农业 |crop simulation model|growth process visualization|morphology visualization|agent|technology 3d |
| title | Research on key technologies of crop growth process simulation model and morphological 3D visualization |
| title_full | Research on key technologies of crop growth process simulation model and morphological 3D visualization |
| title_fullStr | Research on key technologies of crop growth process simulation model and morphological 3D visualization |
| title_full_unstemmed | Research on key technologies of crop growth process simulation model and morphological 3D visualization |
| title_short | Research on key technologies of crop growth process simulation model and morphological 3D visualization |
| title_sort | research on key technologies of crop growth process simulation model and morphological 3d visualization |
| topic | |crop simulation model|growth process visualization|morphology visualization|agent|technology 3d |
| url | http://www.smartag.net.cn/fileup/2096-8094/PDF/201901-SA005.pdf |
| work_keys_str_mv | AT zhuyepinglishijuanlishuqin researchonkeytechnologiesofcropgrowthprocesssimulationmodelandmorphological3dvisualization |