Application of Artificial Intelligence in Drones for the Analysis of Agricultural Land Use in the Mining Lease

Hitanshu Kaushal *

College of Technology and Engineering, MPUAT, Udaipur, India.

Anupam Bhatnagar

Department of Mining Engineering, College of Technology and Engineering, MPUAT, Udaipur, India.

*Author to whom correspondence should be addressed.


Abstract

The utilization of artificial intelligence (AI) has facilitated the automation of drone control, which includes the management of navigation and movement. This application can be accomplished through several methods, including GPS tracking, computer vision, and machine learning algorithms. Drones exhibit a distinctive combination of spatial coverage and resolution, rendering them indispensable for land survey and mapping. The incorporation of multiple ground-control points has the potential to yield high precision georeferencing for the Orthomosaic product.

In conjunction with field observations, drones provide a prompt and precise means of recording land data and its use. A drone survey and mapping operation was conducted within a mining lease situated near the village of Kanthariya, in the Tehsil and District of Chittorgarh, covering an area of 64.75 hectares, for the analysis of agricultural land use in the mining lease.

Keywords: Mining, agriculture, environment, innovation, land resources, land use, artificial intelligence, drones, photogrammetery, GIS, exploration, minerals, conservation, sustainability


How to Cite

Kaushal , Hitanshu, and Anupam Bhatnagar. 2023. “Application of Artificial Intelligence in Drones for the Analysis of Agricultural Land Use in the Mining Lease”. International Journal of Environment and Climate Change 13 (8):1606-14. https://doi.org/10.9734/ijecc/2023/v13i82110.

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