刘 慧, 汤 亮, 张文宇, 伍艳莲, 曹卫星, 朱 艳. 基于模型的可视化水稻生长系统的构建与实现[J]. 农业工程学报, 2009, 25(9): 148-154.
    引用本文: 刘 慧, 汤 亮, 张文宇, 伍艳莲, 曹卫星, 朱 艳. 基于模型的可视化水稻生长系统的构建与实现[J]. 农业工程学报, 2009, 25(9): 148-154.
    Liu Hui, Tang Liang, Zhang Wenyu, Wu Yanlian, Cao Weixing, Zhu Yan. Construction and implementation of model-based visual rice growth system[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2009, 25(9): 148-154.
    Citation: Liu Hui, Tang Liang, Zhang Wenyu, Wu Yanlian, Cao Weixing, Zhu Yan. Construction and implementation of model-based visual rice growth system[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2009, 25(9): 148-154.

    基于模型的可视化水稻生长系统的构建与实现

    Construction and implementation of model-based visual rice growth system

    • 摘要: 在气象因子、土壤条件、品种参数和栽培措施等基础数据的支持下,通过耦合水稻生长模拟模型、形态结构建成模型和虚拟显示模型及策略分析评价模型、气象资料生成模型、品种参数调试模型,利用计算机软构件技术和动态图形技术,建立了基于模型的可视化水稻生长系统。系统在.NET平台上运用C#语言进行开发,接入OpenGL作图工具,初步实现了不同生态环境、品种类型、生产技术条件下水稻生长的动态模拟和逼真显示,具有数据管理、生长模拟、方案评估、因苗预测、时空分析、系统帮助等功能。研究结果将有助于提升农作生长系统表达的数字化和可视化水平,为虚拟农业的发展奠定基础。

       

      Abstract: Driven by weather, soil, variety and cultivation techniques databases and integrating process-based growth simulation model, morphogenesis model, visualization model, strategy analysis and estimate model, weather data generation model and variety parameter debug model, a model-based visual growth system in rice (MVGSR) was developed using component-based software and visualization technology. The system was programmed in the .NET framework with the C# language, and the OpenGL library was used for realizing 2D and 3D graphics application and visualization. The implemented system could be used for predicting growth progress and visualizing morphological architecture of rice plant under various environments, genotypes and management strategies, and had the functions as data management, growth simulation, strategy evaluation, real-time prediction, temporal and spatial analysis and system help. The MVGSR should be useful for improving the levels of digitalization and visualization of crop growth and production system and lay a foundation for development of visual agriculture.

       

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