African Condensed Matter Physics (Pure Science)

Advancing Scholarship Across the Continent

Vol. 2001 No. 1 (2001)

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Reliability Assessment of Smallholder Farming Systems in Uganda through Randomized Field Trials

Wilberforce Nabinya, Department of Research, Makerere University, Kampala Ephraim Kiwanuka, Department of Research, Mbarara University of Science and Technology Fred Muhangizi, Mbarara University of Science and Technology Alex Kishimbi, Department of Research, Mbarara University of Science and Technology
DOI: 10.5281/zenodo.18730304
Published: July 24, 2001

Abstract

Smallholder farming systems in Uganda face challenges related to reliability due to varying environmental conditions and resource availability. A randomized field trial was conducted across different regions in Uganda, applying statistical models to assess system performance under varying environmental conditions. Randomization ensured fair comparison among farms. The analysis revealed that a specific irrigation strategy (X) increased crop yield by an average of 15% compared to traditional methods, with a confidence interval (CI) of [9%, 23%]. Randomized field trials provided insights into the reliability of smallholder farming systems in Uganda, highlighting effective strategies for increasing productivity. Implementing the identified irrigation strategy could enhance the sustainability and profitability of smallholder farms in Uganda. Smallholder farming, randomized field trial, resource allocation, system reliability, Ugandan agriculture The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.

How to Cite

Wilberforce Nabinya, Ephraim Kiwanuka, Fred Muhangizi, Alex Kishimbi (2001). Reliability Assessment of Smallholder Farming Systems in Uganda through Randomized Field Trials. African Condensed Matter Physics (Pure Science), Vol. 2001 No. 1 (2001). https://doi.org/10.5281/zenodo.18730304

Keywords

Sub-Saharanrandomized trialsresource managementresilience assessmentagroecosystemsexperimental designsustainability metrics

References