LOW-ALTITUDE ECONOMY: BOOSTING UZBEKISTAN’S AGRARIAN SECTOR EFFICIENCY

Abstract

Low-altitude economy, unmanned aerial systems, and digital agriculture all have a critical role in improving
agrarian productivity makes significant use of sensor-based monitoring as well as precision analytics to optimize resource
allocation and farm management decisions. Low-altitude economy development, like many technological transformations
in the diffusion of information, since it can help to raise rural well-being and lower the cost of agricultural production. This
study provides a systematic analytical insight into structural policy changes to two interrelated aspects of the agrarian
sector – on production efficiency and environmental sustainability. This research applies the analytical hierarchy process
model to evaluate the impact of low-altitude economy tools used and operational conditions at farm level, and the
constraints under which agricultural production is carried out. Using a combination of analytical hierarchy process and
econometric techniques, we analyze cross-sectional data on agrarian strategy and technological adoption patterns. Using
data from national agricultural statistics from 2015 to 2024, this study employs regression analysis to quantify the impact
of low-altitude economy related investments on agricultural output growth from Uzbekistan. Findings of this study provide
important implications to policymakers about the role in inducing efficiency gains.
The results indicate that low-altitude economy adoption exerts an important positive marginal effect on each performance
indicator. Policymakers can utilize this empirical evidence to effectively design their agrarian development strategies
and achieve more successful productivity outcomes while investments conducted by public institutions reduce both
operational costs. Furthermore, targeted interventions conducted by private stakeholders improve technological diffusion
and resilience for each agricultural subsystem