依托神经网络的玉米水肥智能决策系统软件开发  

Development of Intelligent Decision System Software for Water and Fertilizer of Maize Based on Neural Networks

作　　者：唐华[1] Tang Hua(Meishan Vocational&Technical College,Meishan 620010,Sichuan,China)

机构地区：[1]眉山职业技术学院,四川眉山620010

出　　处：《农业技术与装备》2024年第3期3-7,共5页Agricultural Technology & Equipment

摘　　要：基于神经网络技术,设计开发了玉米水肥智能决策系统,旨在为农业从业者提供高效的水肥配施决策。系统采用B/S架构的三层架构,依托Django框架实现业务逻辑,MySQL数据库和Redis技术用于数据存储和提升系统性能。系统的核心功能模块包括数据管理、模型管理、信息交互、资料管理、账户管理和系统管理,数据库设计以MySQL为基础,构建了完备的表格关系模式,为用户提供了便捷的决策支持和交流互动平台。Based on neural network technology,this study designed and developed an intelligent decision-making system for water and fertilizer of maize,which aims to provide efficient water and fertilizer allocation decisions for agricultural practitioners.The system design adopts a three-layer architecture of B/S architecture,as well as the Django framework to implement business logic.MySQL database and Redis technology are used for data storage and to improve system performance.The core functional modules include data management,model management,information exchange,data management,account management,and system management.The system database design is based on MySQL and constructs a complete table relationship pattern,providing users with convenient decision support and communication interaction platform.

关 键 词：玉米 水肥管理 智能决策系统 神经网络 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程] TP311.52[自动化与计算机技术—控制科学与工程] S513[农业科学—作物学]