Downloads provided by UsageCounts
doi: 10.5281/zenodo.60973
Uganda, Tanzania, the Sudan, South Sudan, Rwanda, Kenya, Ethiopia, Egypt, DR Congo, and Burundi all make entitlement claims to the ecological system of the Nile Basin. This region is rich in resources, yet prone to interstate conflict, drought, and other vulnerabilities. Water resource conservation systems, alternative purification systems, and rainfall stimulation systems programmed by artificial intelligence can facilitate the establishment of transboundary partnerships that reduce international conflict and serve as a foundation for economic growth and job creation in the Nile Basin region. Water conservation systems using artificial intelligence have been found to increase rainfall capture by an average of 1.5 billion gallons of stormwater per year or enough to provide clean drinking water for 36,000 people per year (O’Neill et. al, 2012). The ecological framework of Nile Basin’s various regions will determine the appropriate artificial intelligence systems that can be implemented to promote the equitable distribution the Nile Basin’s resources. These systems will lessen political conflict that can negatively impact the agricultural practices of Nile Basin farmers and inhabitants who depend on the Nile Basin’s resources for their livelihoods.
artificial intelligence, strategic management, resource distribution, SME, Nile Basin.
artificial intelligence, strategic management, resource distribution, SME, Nile Basin.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 3 | |
| downloads | 6 |

Views provided by UsageCounts
Downloads provided by UsageCounts