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GAT-BASED OPTIMIZATION OF LAND ACCOUNTING: INNOVATIVE APPROACHES
GAT-BASEDOPTIMIZATIONOF LANDACCOUNTING:INNOVATIVE
Международный журнал искусственного интеллекта · 05 · 76-78 · 2025
Аннотация
The article examines the role and potential of geographic information technologies (GIS) in land resource management. GIS systems are an effective tool for analyzing soil conditions, selecting crop types, monitoring resources, and improving the land cadastre system. The possibilities of optimizing land resources and ensuring sustainable development using drones, sensors, artificial intelligence, and GIS systems are analyzed. The article also includes recommendations forimprovingGIS technologies. Keyword:Geographic information technology (GIS), land resource management, land accounting system, soil condition, crop selection, resource monitoring, GIS systems, drones and sensors, artificial intelligence (AI), innovative approaches, high-precision monitoring, soil fertility Introduction:Geographic Information Technologies (GIS) are an important tool for land management and resource optimization, especially in ensuring environmental sustainability. With the help of GIS technologies, the processes of collecting and analyzing data on soil, irrigation systems, crops, and land cadastre are significantly simplified, which allows for effective management. As in other areas, the integration of these technologies in agricultural and land management systems allows for more effective results in practice. This article presents the necessary directions, methods, and recommendations for improving the land accounting system based onGIS. Land accounting system based on GIS GIS systems play a very important role in the effective management of land resources. These systems allow the collection, storage, analysis and visualization of geographic and spatial data of the land. With the help of a GIS system, effective methods can be used to monitor the state of land resources, ensure environmental sustainabilityand increase economicefficiency. Soil condition analysis Using GIS, it is possible to determine the condition of the soil, measure its fertility, structure, pH level and water permeability. This helps in selecting crops and predicting their development. It allows you to quickly identify changes in the soil and take the necessary measures. Crop selection and monitoring GIS technologies can be used to monitor crops and their development and select crop types in response to climate change. For example, crop yields in agriculture may change due to climate change. GIS systems are an effective tool for monitoring changes incrop types. Resource management: GIS systems are essential for monitoring the state of land resources and analyzing their potential for effective use. GIS technologies help determine the efficiency of irrigation systems, manage surface water resources, and protect soilfrom erosion. page1438 INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE ISSN:2692-5206,ImpactFactor:12,23 AmericanAcademicpublishers,volume05,issue02,2025 Journal: https://www.academicpublishers.org/journals/index.php/ijai Landcadastral system: The land cadastre system will also beimproved with thehelpof GIS. It will be possible to check and update the legal status of land plots, which will help determinelegal requirements forland.. Functions Description Soilanalysis Determiningsoil fertility, compositionandwater permeability. Resourcemonitoring Monitoringthecondition of water, soiland plants. Crop selection Selecting crops suitable for climatic and soil conditions using GIS. Cadastresystem Checking and updating the legal status ofland plots. Methods for improving land accounting based on GIS Several new methods and techniques can beused to improve GIS technologies. These include: Monitoring using drones and sensors Drones and high-tech sensors can monitor soil conditions and crop development in real time. This method is especially effective for managing large areas of land. Drone images and sensors can provide accurate information about soil moisture,pH levels, andother parameters. Forecasting using AI and machine learning Artificial intelligence (AI) and machine learning technologies can be used to optimize land resource analysis and forecasting processes. Thesetechnologies can, forexample, improvesoil fertility orpredict crop yields. Development of GIS systems Geoinformatsion tizimlar (GIS) yordamida yer resurslarining holatini tahlil qilish, ularning geografik taqsimotini aniqlash va shu orqali eng samarali boshqaruv strategiyalarini ishlabchiqish mumkin. Method Explanation DroneMonitoring Real-time monitoring of soil conditions and crops using drones. SensorMeasurements Measurement of soil moisture, pH and other physical parameters. GIS Systems Development Further expansion and optimization of geoinformation systems. AIandMachine Learning Analysis and forecasts using artificial intelligence and machinelearning Improved capabilities of the GAT system The development of GIS technologies can improve theefficiency of land resource management. The following opportunitiesarise: Accuracy and speed GIS systems can quickly measure land resources and soil
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«The article examines the role and potential of geographic information technologies (GIS) in land resource management.»
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Демо-превьюThe article examines the role and potential of geographic information technologies (GIS) in land resource management. Полный текст публикации CiteX не хранит — доступ к первоисточнику открывается по DOI согласно лицензии издателя и выбранному плану.
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- Узбекистан
- Ключевые слова
- gis systems, land resources, artificial intelligence, gis technologies, land resource, resource management, soil conditions
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