Skip to content
Research Article Open access CC BY 4.0

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

Hitanshu Kaushal, Anupam Bhatnagar, Bhatnagar , Anupam, Kaushal , Hitanshu

International Journal of Environment and Climate Change · pp. 1606–1614 · Published 14 Jun 2023

10.9734/ijecc/2023/v13i82110

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.

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

Cited by 2

2 citations reported by external sources — individual citing-article records aren't available to list yet.

Article metrics

Real usage data collected on this platform.

0

Page views

0

PDF downloads

0

Outbound clicks

2

Citations

Views by country

Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".

No views recorded yet.

Traffic sources

Referring site, by host.

No traffic recorded yet.

Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.