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The Role of IoT in Shaping the Future of Geospatial AI
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Author(s): Rachna Rana (Ludhiana Group of Colleges, Ludhiana, India)and Pankaj Bhambri (Guru Nanak Dev Engineering College, Ludhiana, India)
Copyright: 2025
Pages: 40
Source title:
Recent Trends in Geospatial AI
Source Author(s)/Editor(s): Dina Darwish (Ahram Canadian University, Egypt)and Houssem Chemingui (Brest Business School, France & Centre de Recherche en Informatique, Panthéon Sorbonne University, France
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DOI: 10.4018/979-8-3693-8054-3.ch007
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Abstract
This chapter shows about the new expertise for instance AI, ML, and IoTs which has altered the geospatial sector, which involves the collecting, analysis, and display of geographical data. These technologies drive industrial innovation and growth by allowing for more precise and efficient data collecting, analysis, and decision-making. AI & ML are especially significant in the geospatial business because they enable the analysis of enormous quantity of facts that would be too time-consuming for people to handle manually. AI and ML methods can examine and understand geographical data such as satellite imaging, aerial photography, and LiDAR scans, revealing patterns and trends that humans may miss. The IoTs is also propelling the geospatial sector forward by allowing for the capture of real-time data from sensors implanted in actual things. Weather sensors, traffic sensors, and GPS trackers are examples of IoTs devices that may provide useful geographical data for decision-making in a kind of business, including farming, transportation, and town development.
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