基于JSP的寒地大豆生产决策系统  

Cold Soybean Prodcution Decision System Based On JSP

作　　者：李晓[1] 杨宇姝[1] 冯江[1] 

机构地区：[1]东北农业大学工程学院,哈尔滨150030

出　　处：《农机化研究》2012年第10期184-186,共3页Journal of Agricultural Mechanization Research

基　　金：东北农业大学博士启动基金项目(2008);东北农业大学大学生科技创新基金项目(2010088);黑龙江省青年科学基金项目(QC2009C87)

摘　　要：根据寒地大豆生长发育的特点,探讨土壤水分和养分对寒地大豆生长发育与产量的影响,建立产量与土壤、气候和水肥等因子,利用模糊神经网络技术来构建规则模型。采用VC,JSP,VB等面向对象的技术构建大豆生产决策系统,分别在黑龙江省中部种植区(海伦)、西部种植区(讷河)、东部种植区(虎林)、北部种植区(五大连池)和南部种植区(宾县)等5个县市,进行了多个大田比较试验,结果表明:该系统为农户大豆生产提出了科学、合理的技术方案,实现了大豆种植经济效益最大化的目的。In accordance with the requirements management of cold soybean growth characters,integrated climatic conditions,soil fertility status of region,the laws of cold soybean absorbing nutrients,the soil nutrient supplying capacity and other various factors to set up models and rules by Fuzzy Neural Network.The system based on the object-oriented technology of JSP,VB,VC had some trials on middle plant part(Hailun),west plant part(Nehe),north plant part(Wudalanchi),south plant part(Bixian) and east plant part(Hulin) of Heilongjiang Province.The results show that this system can provide farmers with scientific and rational management program,with fewer inputs have greater economic benefits.

关 键 词：大豆 JSP 规则模型 决策系统 

分 类 号：F32[经济管理—产业经济]