摘要
通过对棉花栽培研究资料和专家知识的总结归纳,运用系统学方法和结构化途径,建立了基于知识模型的棉花管理决策支持系统(KMDSSCM)。它由数据库、知识模型库、专家咨询库和人机界面等部分组成;可以实现栽培方案设计、适宜生育指标确定、适时苗情调控、专家知识咨询和系统维护等功能,具有普适性强,独立性好等特点。实例分析结果表明,系统可以根据决策点的基础农情条件,设计出适宜的综合性栽培管理方案和生育指标动态。
By summarizing and inducing research achievements and knowledge accumulation in cotton cultivation theory and technology, a knowledge-model-based decision support system for cotton management was developed using system method and structural approach. The system is composed of database, knowledge model, expert consultation and computer-user interface, according to the target yield and anticipate fiber quality of farmers. It can be used for designing pre-sowing cultivation plan, which include variety type, sowing date, population density, fertilization strategy and water management, suitable cultural plan and growth indices, regulating growth dynamics, and providing specialist knowledge assistance and system maintenance, with wide applicability and good explanation. Using climate and topsoil property data of Nanjing, Jiangsu Province, this study designed pre-sowing cultivation plan, suitable dynamic growth indices for Sumian 9, which was planted widely in Nanjing. Comparing this design results with the practice and expert's knowledge, it indicated that on the basis of local farming conditions, the system generates growth indices for a proper target yield, such as height, leaf area index, the number of fruit branches, square and boll, dry matter accumulation and nutrition accumulation, according with the high yield population quality dynamic growth indices. In addition, the density and sowing rate the system designed were respectively 4. 2×104 plant·hm-2, 31. 2 kg·hm-2, which was in the diversification extension of farmers practice. At present, the actual amount of needed fertilizer and water of Sumian 9 aren't clear, but that the system calculated 203. 9 kg· hm-2 N, 103. 3 kg·hm-2 P, 86. 5 kg·hm-2 K and 9112. 5 m3·hm-2 water were reasonable based on the understanding of fertilizer and water requirement for other varieties. As for development stages of cotton sowed on April 16 with no plastic film covering, the date of emergence, squaring, flowering and boll opening were April 28, June 6, July 5 and August 20. Those dates were believable according to the farmers experiment and expert knowledge.
出处
《棉花学报》
CSCD
北大核心
2005年第4期201-206,共6页
Cotton Science
基金
国家自然科学基金重点项目(30030090)国家863计划项目(2003AA209030)
关键词
棉花栽培
决策支持系统
知识模型
专家系统
cotton cultivation
decision support system
knowledge model
expert system