DIGITAL TRANSFORMATION OF SMALL AND MEDIUM LIVESTOCK FARMS: SIMULATION-BASED FRAMEWORK OF PRODUCTIVENESS, MORTALITY REDUCTION AND THE EFFECTIVENESS OF MAKING DECISIONS IN MEAT AND POULTRY SYSTEMS

Background: Digital transformation has become a key driver of efficiency and sustainability in agricultural systems, particularly for small and medium‑sized livestock farms where resource limitations constrain productivity. The problem of high mortality rates, inefficient growth performance, and ineffective decision‑making processes remains prevalent in meat and poultry production systems. Aim: This study aimed to develop a simulation‑based operational framework to assess the effectiveness of digital technologies in improving productivity, reducing mortality, and enhancing decision‑making efficiency in small and medium livestock farms. Methods: A quantitative simulation‑based research design was employed, using structured and time‑series data representing typical farm conditions. Key performance indicators included growth rate (kg), egg production (%), and mortality rate (%). Results: Digital transformation had a strong positive impact on livestock production outcomes. Under high digital adoption, growth rate increased from 2.5 kg to 3.4 kg (+36%). Egg production improved by approximately 15 percentage points, rising from 78% to 90% (+15%). Mortality declined from 5.5% to 2.9% (‑47%). Conclusion: This study demonstrates the transformative potential of digital technologies in streamlining small and medium‑scale livestock farming systems. Despite substantial benefits, infrastructure deficits, financial constraints, and limited technical expertise remain major barriers to widespread adoption.