An investigation of Artificial Intelligence approaches and their Impact on Resource Management & Sustainable development
This study looks into how approaches based on Artificial Intelligence (AI) affect managing resources and promoting sustainable growth. In a world where population growth, urbanisation, and industry are all problems, AI is showing itself to be a powerful way to solve environmental problems and encourage sustainable behaviour. The combination of AI technologies with progress in data technology has created the field of environmental computing. This is a combination of AI, geographic computer systems, and modelling to solve problems related to the environment. AI can help improve the way resources are managed, allowing for real-time tracking, predictive modelling, and smart choices. This study uses a mix of quantitative analysis and AI modelling to look at how AI could be used to predict how tourists will affect the environment and help with sustainable development plans. Some important methods are gathering data from different sources, specifying models using artificial neural networks, and using analysis methods like descriptive and inferential statistics. AI is making environmental modelling better, and this can be seen in areas like landscape and forest modelling, agriculture modelling, and water quality modelling. The study stresses how important AI is for promoting environmentally friendly practices in tourism and resource management. It also stresses the need for more research and use of AI-based solutions to deal with current and future environmental problems.
Authors
- M.Z.M. Nomani (ORCID: https://orcid.org/0000-0003-3886-6590)
- Geetha Manoharan (ORCID: https://orcid.org/0000-0002-8644-8871)
- Somanchi Hari Krishna (ORCID: https://orcid.org/0000-0002-3221-8595)
- Sachin Tripathi (ORCID: https://orcid.org/0000-0003-0222-8204)
- Tabassum Chaudhary
- Harshit Kumar Taneja
Institutions
- The NorthCap University (IN)
- Chaitanya Bharathi Institute of Technology (IN)
- Aligarh Muslim University (IN)
- Symbiosis International University (IN)
- Centre for Aromatic Plants (IN)
Publication Details
- Published
- 2024-11-22
- DOI
- https://doi.org/10.1109/icaccm61117.2024.11059041
- Primary Topic
- Economic and Technological Innovation
- Type
- article
- Field-Weighted Citation Impact
- 0.00