Мүтәліпқызы et al. (2025) Анализ Эффективности Цифровых Технологий Точного Земледелия Для Оптимизации Агропредприятий

⚠️ Warning: This summary was generated from the abstract only, as the full text was not available.

Identification

• Journal: Вестник Казахского университета экономики финансов и международной торговли
• Year: 2025
• Date: 2025-11-19
• Authors: Б. Мүтәліпқызы, М.М. Нурпеисова, К.Б. Тогжигитова, Д.Е. Жамшидова, B. Mutalipkyzy, M. Nurpeisova, K. Togzhigitova, D. Zhamshidova
• DOI: 10.52260/2304-7216.2025.3(60).45

Research Groups

Information not provided in the abstract.

Short Summary

This study analyzes the effectiveness of digital precision farming technologies in optimizing agricultural enterprise operations amidst increasing competition, resource appreciation, and climate change, demonstrating their role in resource efficiency, cost reduction, and improved management. It highlights how continuous monitoring and data-driven planning lead to more sustainable agricultural practices.

Objective

• To analyze the effectiveness of digital precision farming technologies as a tool for optimizing agricultural enterprise activities, focusing on rational resource utilization, reduction of production costs, and enhancement of management decision accuracy in the face of competitive pressures, rising resource costs, and climate change.

Study Configuration

• Spatial Scale: Farm-level to regional agricultural operations, focusing on crop assessment and irrigation planning.
• Temporal Scale: Operational (continuous monitoring and real-time planning for irrigation, fertilization, and plant protection) and long-term (sustainable agricultural development).

Methodology and Data

• Models used: Not explicitly named, but involves digital solutions and geoinformation technologies for data processing, analysis, and decision support in precision agriculture.
• Data sources: Soil moisture sensors, navigation systems, geoinformation technologies, satellite monitoring, unmanned aerial vehicles (UAVs) for crop assessment, and continuous monitoring of various agro-meteorological parameters (weather, soil characteristics).

Main Results

• Digital precision farming technologies effectively optimize the use of water, energy, and labor resources in agricultural enterprises.
• Implementation of digital solutions leads to a reduction in production costs and an increase in the accuracy of management decisions.
• Continuous monitoring of agro-meteorological parameters significantly enhances overall production efficiency in agriculture.
• Access to up-to-date information on weather and soil characteristics enables specialists to accurately plan irrigation, fertilization, and plant protection measures.
• Digitalization is crucial for the sustainable development of agriculture, providing a framework for future improvements in precision farming technologies.

Contributions

• Provides a comprehensive analysis of the practical effectiveness and benefits of various digital precision farming technologies for agricultural optimization.
• Synthesizes how specific digital tools (sensors, satellite monitoring, UAVs) contribute to resource efficiency, cost reduction, and improved decision-making in agriculture.
• Emphasizes the critical role of continuous agro-meteorological monitoring in enhancing agricultural production efficiency and sustainability.
• Identifies key directions for the further development and improvement of precision farming technologies, particularly regarding climate and weather analysis for crop yields.

Funding

Information not provided in the abstract.

Citation

@article{Мүтәліпқызы2025Анализ,
  author = {Мүтәліпқызы, Б. and Нурпеисова, М.М. and Тогжигитова, К.Б. and Жамшидова, Д.Е. and Mutalipkyzy, B. and Nurpeisova, M. and Togzhigitova, K. and Zhamshidova, D.},
  title = {Анализ Эффективности Цифровых Технологий Точного Земледелия Для Оптимизации Агропредприятий},
  journal = {Вестник Казахского университета экономики финансов и международной торговли},
  year = {2025},
  doi = {10.52260/2304-7216.2025.3(60).45},
  url = {https://doi.org/10.52260/2304-7216.2025.3(60).45}
}