<p>Conventional manual livestock feeding is time-consuming, prone to human error, and labour-intensive, thereby necessitating the transition to Automated Fodder Distribution Systems (AFDS) to enhance nutritional consistency and farm productivity. Nevertheless, although the existing body of literature has comprehensively addressed the design, Internet of Things ( IoT ) implementation, and short-term functional effectiveness of AFDS, there exists a critical need for long-term reliability analysis of these systems under different operational, degraded, and failure modes. To this end, the current study proposes a probabilistic performance analysis of an AFDS using a Markov-state-based modelling framework. Mathematical modelling is carried out on the automated system, consisting of a storage hopper, a conveyance system, an electric drive unit, a microcontroller, a sensing unit, and a power supply, in its fully functional, degraded, and completely failed states. The Markov process and regenerative points are employed in the current study to analyse performance metrics, with time exponentially distributed.</p>