Precision Agriculture (PA) is a farm management approach which ensures that plants and animals’ needs are adequately met. One of the advances in PA is Autonomous Irrigation System (AIS). Various AISs have been proposed to ensure effective management of water resources, soil water content optimization and increasing crop yield. However, these systems require some level of decisionmaking algorithm in order to make the appropriate irrigation decisions that are critical. Decision tree algorithms were evaluated and results are presented in this study. The results of evaluation showed that CART recorded an increase of 0.06% and 0.26% compared to C5.0 and ID3 respectively in terms of accuracy. CART also records an increase of 0.38% and 1.76% against the C5.0 and ID3 respectively with regard to precision. Evaluating the recall, CART records an increase of 0.12% and 0.33% in comparison to C5.0 and ID3 respectively. The F-measure of CART also records an increase of 0.24% and 1.05% against the C5.0 and ID3 respectively.