
Urban rooftop gardens in Lagos, Nigeria, face challenges in water management due to limited space and high population density. Smart irrigation schemes can help optimise water usage while enhancing garden productivity. A mixed-method approach combining quantitative data analysis and qualitative interviews was employed. A linear regression model (Y = β0 + β1X + ε) was used to estimate the impact of smart irrigation schemes on water usage efficiency. Smart irrigation systems in rooftop gardens reduced water consumption by an average of 25% compared to traditional methods, with a high level of confidence (95%) in these results. The methodology provided robust evidence for the efficacy of smart irrigation schemes in urban rooftop gardens, offering policy recommendations for sustainable water management policies. Policy makers should incentivize the adoption of smart irrigation systems to promote more efficient urban water usage and enhance garden productivity.
Urban Informatics, Wireless Communication Technology, Environmental Modelling, Geographical Information Systems (GIS), Decision Support Systems, Data Mining, Sensor Networks
Urban Informatics, Wireless Communication Technology, Environmental Modelling, Geographical Information Systems (GIS), Decision Support Systems, Data Mining, Sensor Networks
| 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 |
