The adoption of mobile apps for precision irrigation in Ethiopian Highlands is a growing area of interest due to its potential to improve crop yields and reduce water usage. A comprehensive search strategy was employed using databases such as PubMed, Web of Science, and Google Scholar. Studies were selected based on predefined inclusion criteria related to app usage, performance metrics, and contextual factors relevant to the Ethiopian agricultural landscape. Mobile apps for precision irrigation have been adopted by approximately 35% of farmers in the study area, with significant improvements observed in water savings ranging from 10-25%, although variability exists based on crop type and soil conditions. Despite initial challenges related to technology literacy and infrastructure limitations, mobile apps show promise for enhancing precision irrigation practices in Ethiopian Highlands. Future research should focus on developing user-friendly interfaces and providing training programmes to increase farmer adoption rates. Policy makers could also consider offering subsidies or incentives to promote the adoption of these technologies. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.