The study examines process-control systems in Tanzanian agriculture to assess their impact on yield improvement. A multilevel regression model will be employed to analyse data from multiple levels (e. g. , farm level vs. regional level) to account for potential sources of variation in yield performance across different regions and farming practices. The analysis reveals a significant positive effect of process-control systems on crop yields, with an estimated increase of 12% in yield per hectare where these systems are implemented compared to those without. This study underscores the importance of adopting advanced process-control technologies for enhancing agricultural productivity and recommends their widespread adoption to boost Tanzania's food security efforts. Investment should be prioritised in research and development of process-control systems, along with targeted training programmes for farmers to maximise their benefits. The maintenance outcome was modelled as Y₈ₓ=₀+₁X₈ₓ+uᵢ+₈ₓ, with robustness checked using heteroskedasticity-consistent errors.
Mwakatizo et al. (Sat,) studied this question.