Development of Intelligent Decision System Software for Water and Fertilizer of Maize Based on Neural Networks
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 sys-tem 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 manage-ment.The system database design is based on MySQL and constructs a complete table relationship pattern,providing users with con-venient decision support and communication interaction platform.
maizewater and fertilizer managementintelligent decision systemneural network
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