基于Web和作物模型的棉花气象服务系统构建
Construction of Cotton Meteorological Service System Based on Crop Simulation Model and Web
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摘要: 为便于作物模型的推广和应用,为农业气象服务提供有力工具,以棉花功能结构模型Cotton XL为基础,构建了基于Web的棉花气象服务系统,实现了新疆棉区棉花生长发育状况的逐日动态模拟。系统采用MySQL建立了新疆棉区气象、土壤和主栽品种数据库,采用B/S结构模式,包括前端展示、数据存储和后台分析,运用Java语言实现了棉花模型Cotton XL的内部调用以及模型和数据库之间的信息传递,运用PHP语言实现了决策页面和数据库之间的信息传递。系统以气候、土壤、管理措施和品种特性为基本输入,可提供棉花生长发育动态预测、产量预报和品质预测等服务。经验证,系统能够较好地反应新疆棉区棉花生长发育和产量形成过程,系统的建立对提升气象为农服务能力具有重要的现实意义。Abstract: Relying on weather forecast and climate prediction,a cotton meteorological service system based on functional-structural plant model Cotton XL was developed.Cotton XL has been designed and calibrated to simulate development of leaf and fruits(square,flower and boll),plant height and branching.Crop development in Cotton XL was driven by thermal time,population density,application of growth regulator mepiquat chloride and topping of main stem and branches.This model could simulate cotton fibre development in relation to temporal and spatial distribution of retained fruits.By inputting parameters of climate,soil,management and varieties,the system could set service on growth simulation,yield forecast,fiber quality prediction and meteorological disaster early warning.Based on B/S three-tier structure mode,this system included front-end display layer,data storage layer and background analysis layer.Inner call of Cotton XL and transfer of information between Cotton XL and database were carried out with Java.Transfer of information between front page and database was carried out with PHP.Database of climate,soil,management and cotton cultivars of Xinjiang cotton area were developed by using MySQL.The system accorded with TCP/IP agreements,which could be installed and ran in server,and be browsed on Internet.Establishment and application of the system could improve application ability of crop growth model on yield prediction,agro-meteorological disasters early warning and so on.It′s important and realizable to enhance meteorological service ability on agriculture.
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Keywords:
- crop simulation model /
- cotton /
- dynamic prediction /
- meteorology /
- service system
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