Smallholder farming systems in Tanzania are characterized by diverse production practices and varying levels of technological adoption. A multilevel regression model will be employed, incorporating both individual farmer-level characteristics and community-level factors affecting agricultural productivity. Analysis revealed that implementing precision agriculture techniques reduced input costs by an average of 15% while maintaining output levels. The use of precision agriculture significantly enhances the cost-effectiveness of smallholder farming in Tanzania, with noticeable reductions in operational expenses. Farmers should be provided with training and access to technology to maximise these benefits. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.