Authors : Juhi Sharma; Pal Varma; Yashasvi Verma; Mithilesh Tank

Volume/Issue : Volume 6 - 2021, Issue 3 - March

Google Scholar : http://bitly.ws/9nMw

Scribd : https://bit.ly/3u2iItk

Abstract : The wide unfold of mobiles as hand-held devices end up in varied innovative applications that create use of their ever-increasing presence in our existence. One such application is location chase and monitoring; chase exploitation Geographical Positioning System (GPS) and world System for Mobile Communication (GSM) technology. Land information systems (LIS) provide a technological foundation for decision-making in a wide range of natural resource applications, including scientific, environmental, engineering, and public policy. The LIS provides a ‘framework to mix land surface models, relevant knowledge and computing tools and resources’ (Kumar et al., 2006). Typically, LIS represents a processed info repository for holding geospatial elements, comprising ‘mapping unit’ pure mathematics, and connected georeferenced materials like satellite imaging, earth science observations, and predictions, and scanned heritage mapping, that's wherever the thought of analysing the land via the assistance of satellite imaging enters. The system displays the item moving path on the monitor and also the same info may also be communicated to the user's cellular phone, thus we'd like an associate degree application to form one such mil model that offers North American nation automatic classification of land exploitation mil options. With a marker feature with draggable practicality on Google maps, survey officers will regulate coordinate positions additional exactly with real-world things on digital maps

Keywords : Machine Learning [ML], Artificial Intelligence [AI], GPS, LIS