系统仿真学报 ›› 2015, Vol. 27 ›› Issue (10): 2467-2474.

• 虚拟现实与可视化 • 上一篇    下一篇

水稻株型优化设计系统的设计与实现

丁维龙, 徐利锋, 危扬, 高楠   

  1. 浙江工业大学计算机科学技术学院,杭州 310023
  • 收稿日期:2015-03-06 修回日期:2015-07-31 出版日期:2015-10-08 发布日期:2020-08-07
  • 作者简介:丁维龙(1975-),男,安徽萧县,博士,教授,研究方向为虚拟植物模拟;徐利锋(1982-),男,浙江临安,博士,讲师,研究方向为虚拟植物模拟。
  • 基金资助:
    国家自然科学基金项目(31471416, 31301230); 浙江省自然科学基金项目(LY14C130005)

Design and Realization of Optimization System for Rice Type

Ding Weilong, Xu Lifeng, Wei Yang, Gao Nan   

  1. College of Computer Science & Technology, Zhejiang University of Technology, Hangzhou 310023, China
  • Received:2015-03-06 Revised:2015-07-31 Online:2015-10-08 Published:2020-08-07

摘要: 在理想株型研究中,传统的基于田间试验的方法存在耗时长,难以验证株型是否达到最优形态等问题。为减少作物株型设计过程中人工干预所带来的成本提高和结果的不确定性,自动而又快速地获得作物高产株型,基于水稻的功能结构模型, 将优化算法应用到虚拟水稻的株型优化上。在VS2005平台上,使用C++编程语言、OpenGL图形渲染引擎以及MFC框架,开发了水稻株型数字化设计与株型优化系统。介绍了系统的模块、系统构建的关键技术以及系统的实现。研究的基于虚拟模型的水稻株型优化设计方法,可为作物株型的定量化设计提供新的思路。

关键词: 植物功能结构模型, 数字化设计, 水稻株型, 优化系统

Abstract: It is widely accepted that in traditional crop ideotype breeding, field trials are time-consuming, yet lacking appropriate ways to evaluate the target morphology to be optimal. In order to obtain ideal crop plant type quickly and automatically, meanwhile to reduce the side effects caused by manual operations in the processes of plant type design, e.g. the growing of labor costs and uncertainty of the outcome, a method based on genetic algorithms (GAs) and functional-structural plant model (FSPM) was proposed in this study to optimize plant type of virtual rice by dynamically adjusting phenotypical traits of rice plants. Based on this method, an optimization system for rice plant type was developed in the platform, by using C++, OpenGL and MFC framework. The main modules and key technologies as well as system implementation were introduced in detail. The optimization method for rice plant type based on Functional-structural model, could provide a reference for quantitative designing and optimizing plant type of different crops.

Key words: functional-structural model, quantitative design, plant type, optimization system

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