The paper develops the conceptual model of a web platform that enables the digitalization of land plots using modern information technologies. The existing approaches to land management in the agricultural sector are analyzed from the standpoint of their digital transformation. The application of web programming technologies, databases, and QR code generation to automate land accounting and monitoring processes is studied. It has been shown that combining information on owners, plot sizes, irrigation, fertilization, and soil cultivation times into a single system significantly increases land management efficiency. The interaction between platform users and the class diagram, which provides convenient storage and access to information, is studied. It has been determined that implementing this system optimizes agrotechnical measures and improves documentation support for agricultural work. An initial concept of the platform structure is formed, including a data-entry interface and the automatic generation of a unique QR code for each plot. A UML diagram is developed to describe in detail the interactions among the system’s main modules. It is proposed to use this platform to increase transparency and efficiency in land management. A web application has been developed to support multiple users and protect the information entered. Overall, the presented study demonstrates the practical significance of introducing digital solutions into the agricultural sector.

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Modeling the Architecture of Information Management Systems for Agricultural Land Use

  • Erkin Nazarov,
  • Mekhriniso Bakaeva,
  • Nozimjon Hojiev,
  • Shaxriyor Mardonov,
  • Umidjon Subxonqulov

摘要

The paper develops the conceptual model of a web platform that enables the digitalization of land plots using modern information technologies. The existing approaches to land management in the agricultural sector are analyzed from the standpoint of their digital transformation. The application of web programming technologies, databases, and QR code generation to automate land accounting and monitoring processes is studied. It has been shown that combining information on owners, plot sizes, irrigation, fertilization, and soil cultivation times into a single system significantly increases land management efficiency. The interaction between platform users and the class diagram, which provides convenient storage and access to information, is studied. It has been determined that implementing this system optimizes agrotechnical measures and improves documentation support for agricultural work. An initial concept of the platform structure is formed, including a data-entry interface and the automatic generation of a unique QR code for each plot. A UML diagram is developed to describe in detail the interactions among the system’s main modules. It is proposed to use this platform to increase transparency and efficiency in land management. A web application has been developed to support multiple users and protect the information entered. Overall, the presented study demonstrates the practical significance of introducing digital solutions into the agricultural sector.