AI-Powered Environmental Monitoring and Conservation Strategies
In today's society, environmental conservation and sustainable resource management are critical. This article investigates Artificial Intelligence's (AI) transformational potential in boosting environmental monitoring and conservation initiatives. They can transform data gathering, analysis, and decision-making processes by leveraging AI capabilities, thereby contributing to the preservation of the planet's biodiversity and natural ecosystems. They investigate the use of Artificial Intelligence (AI) technologies, such as machine learning and sensor networks, to improve the accuracy and efficiency of environmental data collecting. Case examples show how AI may be used to optimize resource allocation, risk assessment, and adaptive management tactics for conservation programs. However, this trip is not without difficulties, and ethical questions must be addressed. The findings highlight the critical importance of accomplishing long-term environmental management. As Artificial Intelligence (AI) advances, its use in environmental science provides new possibilities for preserving the planet's future and creating a healthy coexistence between people and nature.
Authors
- K. V. Metre (ORCID: https://orcid.org/0000-0002-8124-5215)
- ranjana dahake
- Nitin R. Mahankale (ORCID: https://orcid.org/0000-0002-1954-1312)
- B J Dange
- Namita R. Kale
Publication Details
- Journal
- International Journal of Engineering Trends and Technology
- Published
- 2024-08-31
- DOI
- https://doi.org/10.14445/22315381/ijett-v72i8p101
- Citations
- 6
- Primary Topic
- Air Quality Monitoring and Forecasting
- Type
- article
- Field-Weighted Citation Impact
- 1.23