The prevalence of livestock diseases among smallholder farmers in South Sudan is a significant challenge to food security and livelihoods. The adoption of technology such as livestock health surveillance apps has been limited, necessitating an evaluation framework that considers sector-specific contexts. A systematic review of existing literature will be conducted to identify key performance indicators (KPIs) relevant to the sector-specific context. These KPIs will inform the development of a structured evaluation matrix and innovation adoption model. The proposed theoretical framework will provide a structured approach to assessing the efficacy of livestock health surveillance apps among smallholder farmers in South Sudan, facilitating evidence-based decision-making and innovation adoption across agricultural sectors. Implementing this framework will require collaboration between technology developers, extension services, and farmer groups. It is recommended that initial pilot studies be conducted to validate the framework's effectiveness before wider implementation. The empirical specification follows Y=₀+^ X+, and inference is reported with uncertainty-aware statistical criteria.
Peter Nyikal (Fri,) studied this question.