Table 5 SWF opportunities provided by artificial intelligence.
Items | Key SWF opportunities |
|---|---|
Minimizing and Facing Water Scarcity | On a timely basis, in a particular location, and a particular situation, AI could foster water knowledge, maximize the sustainable revenue of water, minimize the water loss in the various economic systems, and equitably maximize the water benefits. Water Scarcity could be expressed as a mathematical function of future variables, water demand, water resources, unconventional water, water consumption, climate change, rising populations, water awareness, desertification, COVID-19 impact, water management, irrigation system (open field, sprinkler, drip, protected drip, ..etc.) irrigation efficiency, water efficiency use, overall water use efficiency (WUE), water vulnerability, and economic welfare. |
The water footprint | AI could assess the water needs of domestic, agricultural, and industrial sectors. Assess the water footprints. Assess the local and actual water footprint for different products such as one cup of orange juice, tea, and coffee, one kg of meat, wheat, and vegetables, and one suit of cotton, linen, and jeans. |
Machine-to-Machine (M2M) in Smart Water | AI could improve cost-effective opportunities in M2M. Applications in SWSs include semantic sensors, smart pipes, smart metering, … |
