基于生长模型的油菜管理决策支持系统

Development of growth model-based decision support system for rapeseed management

基于生长模型的作物管理决策支持系统是数字化农作技术研究的重要内容。在气象因子、土壤条件、品种特征和栽培管理数据库的支持下,利用作物生长模拟技术、计算机软构件技术,构建了基于生长模型的油菜管理决策支持系统(GMDSSRSM),包括单机版(GMDSSRSMA)和网络版(GMDSSRSMW),其中单机版系统利用VB和VC++语言编程实现,网络版系统在.net平台上用C#语言开发。该系统实现了数据管理、模拟预测、方案评估、因苗预测、时空分析、敏感性分析、专家咨询和系统帮助等功能,具有机理性强、预测性好、通用性强、功能全面等特点。该研究为油菜生长与生产系统的动态预测和管理决策提供了定量化和数字化工具,可为数字化油菜农作系统的构建奠定技术基础。

Growth model-based decision support system is one of the important parts of digital farming techniques. Driven by soil, variety, weather and management databases, a growth model-based decision support system for rapeseed management（GMDSSRSM） was developed by integrating growth simulation technology and component-based software technology, including a stand-alone edition （GMDSSRSMA） and a web-based edition（GMDSSRSMW）. The GMDSSRSMA was established on the platforms of VCq-q- and VB by adopting the characteristics of object-oriented and component-based software and with effective integration and coupling of the growth prediction and decision-making functions for cultural management. Then, GMDSSRSMw was further developed on the platform of. net with C# language for web users. The implemented systems with the characteristics of powerful mechanism, good prediction, fine adaptability and comprehensive function realized the functions of data management, prediction of growth dynamics, evaluation of individual and comprehensive management strategies, real time growth data based simulation, time and spatial analysis, sensitivity analysis, expert consultation, and system help. The GMDSSRSM is regarded as quantitative and digital tools for prediction of rapeseed growth and development and decision support. It may be useful for construction of digital farming system in modern rapeseed production.