Publication Details
Abstract
As food security becomes increasingly critical, the modernization of the livestock sector is essential for ensuring stable meat production and improving national nutrition. In Uzbekistan, efforts to enhance meat production have gained momentum through the gradual introduction of innovative technologies, reflecting both global practices and local adaptations. Despite the acknowledged benefits of digital monitoring, biotechnology, and artificial intelligence in livestock management, their practical application in Uzbekistan remains limited and under-researched, especially at the regional level. This study aims to evaluate the effectiveness of innovative technologies in meat production, compare their application in local and foreign contexts, and identify regional disparities and barriers in adoption. The findings indicate that technologies such as biosensors, automated feeding systems, and AI-driven decision-making significantly improve productivity—by up to 25% in some cases—and reduce disease incidence and operational costs. However, barriers such as high initial investment, lack of expertise, and insufficient institutional support hinder widespread adoption. Regional analysis revealed consistent growth in meat production across Uzbekistan from 2019 to 2023, with standout increases in Tashkent city (400%) and Karakalpakstan (118.3%). This study presents empirical data from pilot implementations on local farms and offers a comparative regional analysis of meat production trends linked to technological uptake. The research emphasizes the need for targeted state support, vocational training, and the development of livestock technoparks to accelerate technology adoption, improve meat quality, and strengthen Uzbekistan’s export capacity and food security.