DIGITAL AND AUTOMATED SOLUTIONS FOR MINERAL RESOURCE TREATMENT

Authors

  • Abduganieva Yulduzoy Shakhabidinovna Senior Lecturer at the Department of Mathematics and Natural Sciences, Almalyk State Technical Institute

Keywords:

Keywords: mineral resource processing, automation, robotics, machine learning, mining technology, sustainability

Abstract

Annotation: Automation in mineral resource processing has become a transformative force in the mining industry, enhancing efficiency, safety, and sustainability. This article explores how automation technologies, such as robotics, machine learning, and advanced control systems, are revolutionizing mineral processing. Through case studies and analyses, it demonstrates the advantages and challenges of implementing automation in this sector.

 

References

1. Komatsu, T., & Smith, R. J. (2020). Advances in Mining Automation Technologies. Journal of Mining Engineering, 54(3), 112-128.

2. Chen, Z., & Li, H. (2021). Artificial Intelligence Applications in Mineral Processing. International Journal of Mining Technology, 45(2), 34-56.

3. Gupta, R., & Singh, M. (2019). Optimizing Mineral Processing with Robotics. Mining Innovation Journal, 39(4), 18-33.

4. World Mining Association. (2022). Annual Report on Sustainable Mining Practices.

5. Ivanov, D., & Petrov, V. (2018). Predictive Maintenance in Mining Operations. Mining Science and Technology, 29(1), 78-92.

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Published

2025-11-16

How to Cite

Abduganieva Yulduzoy Shakhabidinovna. (2025). DIGITAL AND AUTOMATED SOLUTIONS FOR MINERAL RESOURCE TREATMENT. SCIENCE AND INNOVATION IDEAS IN MODERN EDUCATION, 3(4), 10–14. Retrieved from http://woconferences.com/index.php/SIIME/article/view/2561

Issue

Vol. 3 No. 4 (2025): SCIENCE AND INNOVATION IDEAS IN MODERN EDUCATION

Section

Articles