SOURCE-LINKED INTELLIGENCE
Integrating Artificial Intelligence-Driven Principles in Enhancing Water Management: Assessing the Prospects and Challenges in Achieving Water Security in South Africa
Water Conservation Science and Engineering · Water resources management and optimization · University of the Witwatersrand
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- recordType
- paper
- evidenceStatus
- metadata-reported
- region
- Global
Evidence & attribution
- OpenAlex research metadata · 2026-09-22T00:00:00.000Z
Research metadata: OpenAlex (CC0). Original paper rights remain with its publisher.
First collected: 2026-09-23T16:13:28.179Z. This is not the publication date.
Research metadata
OpenAlex record ↗ · Metadata licensed CC0; paper rights are separate.
- Citations reported by OpenAlex
- 0
- Authors
- Richard Kwame Adom
- Affiliations
- University of the Witwatersrand (ZA)
- Topic
- Water resources management and optimization
- Venue
- Water Conservation Science and Engineering
- Publication type
- article
- Retraction flag reported by OpenAlex
- Not flagged
Citation count and retraction flag reported by OpenAlex. Citations are not a quality score; affiliation countries are not study locations.