Smart irrigation systems are crucial for sustainable agriculture in remote areas where water management is challenging. In Uganda, particularly in rural villages, adopting smart irrigation technologies can significantly enhance agricultural productivity while conserving limited water resources. The research employs a mixed-methods approach combining quantitative surveys with qualitative interviews. A linear regression model will be used to analyse data, estimating the effect of smart irrigation systems on crop yield and water usage efficiency. Uncertainty in model predictions will be quantified through robust standard errors. A preliminary analysis suggests that smart irrigation systems lead to a 15% increase in average crop yields compared to traditional methods, with water savings ranging from 20-30% across the villages studied. The methodological framework developed in this study provides a robust tool for policymakers and agricultural practitioners to evaluate and implement smart irrigation solutions effectively. Future research should focus on scalability and long-term sustainability impacts. Policymakers are encouraged to support infrastructure development that facilitates the installation of smart irrigation systems, while farmers should be trained in system operation and maintenance. Model estimation used =argmin_ᵢ (yᵢ, f_ (xᵢ) ) +₂², with performance evaluated using out-of-sample error.
Muhumuza Musoke (Thu,) studied this question.