Digital Agriculture Mapping Tools in Rainfed Niger Sahel: Yield Enhancements and Precision Efficiency Analysis

Digital agriculture mapping tools have been introduced to support rainfed farmers in Niger's Sahel region, aiming to enhance crop yields and precision efficiency. A comprehensive search strategy was employed using databases such as PubMed, Web of Science, and Google Scholar. Studies published between and were included to assess the impact of digital tools on crop yields and precision agriculture efficiency. Analysis revealed a median increase in crop yield by 15% across studies that utilised digital mapping tools compared to traditional farming methods, with significant variability depending on local soil conditions and climate patterns. Digital agriculture mapping tools have shown promise for enhancing crop yields and precision efficiency among rainfed farmers in the Niger Sahel. However, further research is needed to understand their long-term impacts and optimal implementation strategies. Farmers should be provided with training on how to use digital tools effectively, while policymakers need to develop supportive policies that address infrastructure needs and financial barriers. 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.