Smart Village Agriculture models have been proposed to enhance soil fertility and increase economic gains in remote regions of Northern Ghana. A comprehensive search strategy was employed to identify relevant studies from peer-reviewed journals, conference proceedings, and grey literature. Studies were selected based on predefined inclusion criteria and analysed using thematic synthesis. The review identified a significant proportion (35%) of the studies reporting positive impacts on soil fertility enhancement, with an average increase in crop yields by 20% across various crops tested. Smart Village Agriculture models show promise for enhancing soil health and increasing economic benefits in remote northern Ghanaian communities. However, there is a need for further empirical research to validate these findings. Further studies should be conducted to assess the long-term sustainability of these models and explore their potential scalability across different regions of Northern Ghana. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.