Abstract
Automated Land Evaluation System (ALES) and Land Evaluation Computer System (LECS) were applied in Kilosa District, Tanzania to test their applicability and adaptability in the area within the context of low-input rainfed maize farming. The study comprised physical land suitability classification of dominant soils identified through reconnaissance soil and land resources survey and comparison of predicted yields with field data. ALES predicted that four soil units had moderate potential with 80% yield, while two soil units had poor potential with 40% yield. Comparison of farmers' reported yields with those of ALES indicates significant correlation (R>0.9, P
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