• HITANSHU KAUSHAL
• Dr. ANUPAM BHATNAGAR

ABSTRACT This research presents a comparative analysis of traditional surveying methods and AI-driven drones in mining operations, supported by a detailed case study. The research examines the impact of drone technology on critical aspects of mining, highlighting its superiority in accuracy, efficiency, and cost-effectiveness. The integration of artificial intelligence in mining has emerged as a transformative force, offering advanced capabilities such as predictive maintenance, optimized resource extraction, and enhanced safety measures through real-time monitoring and analysis. AI-driven drones, in particular, automate data collection and analysis, facilitate precise geological exploration, and improve mineral identification and classification. The case study was strategically selected to explore the application of AI-based drones in a mining environment, addressing specific research objectives and comparing the outcomes with traditional methods. The findings reveal that drones significantly outperform conventional techniques in tasks such as mine planning, exploration, inspection, and surveying, delivering accurate and reliable results over large areas within a reduced timeframe while also enhancing safety protocols. This research underscores the multiple advantages of integrating AI-powered drones into mining operations, demonstrating substantial time and cost savings, improved data accuracy, and enhanced operational efficiency. The results contribute to the growing body of knowledge supporting the adoption of drone technology in the mining industry, paving the way for greater productivity and sustainability.

Mining, Mining Survey, Innovation, Land Resources, Land Use, Artificial Intelligence, Drones, Photogrammetery, GIS, Exploration, Minerals, Conservation, Sustainability, Accuracy, Efficiency, Cost

"AI-Driven Drones in Mining A Comparative Analysis Focused on Accuracy, Efficiency, and Cost", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 8, page no.e272-e285, August-2024, Available :http://www.jetir.org/papers/JETIR2408426.pdf

"AI-Driven Drones in Mining A Comparative Analysis Focused on Accuracy, Efficiency, and Cost", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 8, page no. ppe272-e285, August-2024, Available at : http://www.jetir.org/papers/JETIR2408426.pdf