The implementation of process-control systems in agricultural processing facilities is crucial for ensuring quality control and efficiency. However, their adoption rates vary across different regions and contexts. A mixed-method approach was employed, combining quantitative survey data with qualitative interviews. The sample size for the quantitative component was 250 respondents from various Ugandan agricultural processing facilities. The findings indicate that there is a significant variation in adoption rates among different types of agricultural processes (e. g. , dairy vs. maize), which could be attributed to varying levels of technological and managerial support. This quasi-experimental design provides valuable insights into the factors influencing the uptake of process-control systems in Ugandan agriculture, offering a robust framework for future studies. Future research should consider longitudinal data collection methods to better understand long-term adoption trends and explore potential interventions to increase system uptake. The maintenance outcome was modelled as Y₈ₓ=₀+₁X₈ₓ+uᵢ+₈ₓ, with robustness checked using heteroskedasticity-consistent errors.
Chewang Nabalu (Sat,) studied this question.