首页> 外文期刊>土壤圈(英文版) >A Knowledge Model System for Wheat Production Management
【24h】

A Knowledge Model System for Wheat Production Management

机译:小麦生产管理知识模型系统

获取原文
获取原文并翻译 | 示例
       

摘要

A knowledge model with temporal and spatial characteristics for the quantitative design of a cultural pattern in wheat production,using systems analysis and dynamic modeling techniques,was developed for wheat management,as a decision-making tool in digital farming.The fundamental relationships and algorithms of wheat growth indices and management criteria to cultivars,ecological environments,and production levels were derived from the existing literature and research data to establish a knowledge model system for quantitative wheat management using Visual C++.The system designed a cultural management plan for general management guidelines and crop regulation indices for timecourse control criteria during the wheat-growing period.The cultural management plan module included submodels to determine target grain yield and quality,cultivar choice,sowing date,population density,sowing rate,fertilization strategy,and Water management,whereas the crop regulation indices module included submodels for suitable development stages,dynamic growth indices,source-sink indices,and nutrient indices.Evaluation of the knowledge model by design studies on the basis of data sets of different eco-sites,cultivars,and soil types indicated a favorable performance of the model system in recommending growth indices and management criteria under diverse conditions.Practical application of the knowledge model system in comparative field experiments produced yield gains of 2.4%to 16.5%.Thus,the presented knowledge model system overcame some of the difficulties of the traditional wheat management patterns and expert systems,and laid a foundation for facilitating the digitization of wheat management.
机译:利用系统分析和动态建模技术,开发了一种具有时空特征的知识模型,用于小麦生产中一种文化模式的定量设计,作为小麦管理的一种手段,是数字农业的决策工具。从现有文献和研究数据推导了小麦生长指标和品种,生态环境和生产水平的管理标准,建立了利用Visual C ++进行小麦定量管理的知识模型系统。文化管理计划模块包括确定目标谷物产量和质量,品种选择,播种日期,人口密度,播种量,施肥策略和水管理的子模型,用于确定小麦生育期的时程控制标准。作物调控指标模块包括子模式对于适宜的发展阶段,动态增长指数,源汇指数和养分指数,这是合适的。通过基于不同生态地点,栽培品种和土壤类型的数据集进行的设计研究对知识模型的评估表明,该模型表现良好。在不同条件下推荐生长指标和管理标准的模型系统。知识模型系统在比较田间试验中的实际应用产生了2.4%至16.5%的增产。因此,提出的知识模型系统克服了传统小麦的一些困难管理模式和专家系统,为促进小麦管理数字化奠定了基础。

著录项

  • 来源
    《土壤圈(英文版)》 |2007年第2期|172-181|共10页
  • 作者单位

    Hi-Tech Key Laboratory of Information Agriculture of Jiangsu Province, Nanjing Agricultural University, Nanjing 210095 (China);

    Key Laboratory of Crop Growth Regulation of Ministry of Agriculture, Nanjing Agricultural University, Nanjing 210095 (China);

    Hi-Tech Key Laboratory of Information Agriculture of Jiangsu Province, Nanjing Agricultural University, Nanjing 210095 (China);

    Key Laboratory of Crop Growth Regulation of Ministry of Agriculture, Nanjing Agricultural University, Nanjing 210095 (China);

    Hi-Tech Key Laboratory of Information Agriculture of Jiangsu Province, Nanjing Agricultural University, Nanjing 210095 (China);

    Key Laboratory of Crop Growth Regulation of Ministry of Agriculture, Nanjing Agricultural University, Nanjing 210095 (China);

    Hi-Tech Key Laboratory of Information Agriculture of Jiangsu Province, Nanjing Agricultural University, Nanjing 210095 (China);

    Key Laboratory of Crop Growth Regulation of Ministry of Agriculture, Nanjing Agricultural University, Nanjing 210095 (China);

    Hi-Tech Key Laboratory of Information Agriculture of Jiangsu Province, Nanjing Agricultural University, Nanjing 210095 (China);

    Key Laboratory of Crop Growth Regulation of Ministry of Agriculture, Nanjing Agricultural University, Nanjing 210095 (China);

  • 收录信息 中国科学引文数据库(CSCD);中国科技论文与引文数据库(CSTPCD);
  • 原文格式 PDF
  • 正文语种 chi
  • 中图分类 农业基础科学;
  • 关键词

    expert system; knowledge model; quantitative decision-making; regulation index; wheat;

    机译:专家系统;知识模型;定量决策;调控指标;小麦;
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号