| Gannan navel orange,a specialty of Ganzhou City,Jiangxi Province,China’s national geographic indication products.The yield and taste of navel orange are affected by many factors,such as temperature,humidity,soil moisture,meteorological weather,etc.Under the traditional management mode,people can not dynamically monitor the growth environment of navel orange.Once the occurrence of pests and diseases,natural disasters,etc.,it will bring great losses to farmers.In order to dynamically monitor and manage the production process of navel orange in southern Jiangxi,this paper proposes an intelligent production decision support system based on the Internet of Things for the production of navel orange in southern Jiangxi,which can realize the dynamic management of the whole growth and production process from the dynamic monitoring of the growth environment of navel orange to the intelligent production planning and the sharing of expert resourcesThis paper analyzes the current construction condition of smart agriculture in our country,understands the existing problems in the process of agricultural development,and makes solutions based on the idea of the Internet of Things to determine the research content.In order to meet the needs of daily business operations,the needs of the identified users were investigated and the functional requirements of the system were determined,including: environmental monitoring system,production decision-making system and agricultural expert system.In addition,the non-functional requirements of the platform are clarified in terms of security,stability,real-time performance and expansibility.This paper divides the platform into perception layer,transmission layer,data layer,business layer and presentation layer to realize the link between the object and the system.According to the requirements,the system is divided into three subsystems,and the functions of these three subsystems are designed in detail.In the process of agricultural production,some data information generated are stored in the database.This paper uses E-R diagram to design the conceptual model,uses the database table to describe the physical model,and determines the database design of the platform.Java language is used to implement the system programming,and the operation effect of typical functions is shown,and the platform is tested from two aspects of function and performance to verify the effectiveness and availability of the system.Through the Gannan navel orange intelligent production decision support system,the real-time monitoring of the navel orange growth environment can be realized,the market environment of navel oranges can be dynamically analyzed,and the fertilization plan for navel oranges can be intelligently given,which can not only increase the yield of navel oranges,but also improve the navel oranges.quality,which provides an important reference for farmers. |