Quantifying soil quality is important for asses-
sing soil management practices effects on spatial and temporal
variability of soil quality at the field scale. We studied the pos-
sibility of defining a simple and practical fuzzy soil quality index
based on biological, chemical and physical indicators for assessing
quality variations of soil irrigated with well water and treated urban
wastewater during two experimental years. In this study 6 proper-
ties considered as minimum data set were selected out of 18 soil
properties as total data set using the principal component analysis.
Treated urban wastewater use had greater impact on biological and
chemical quality. The results showed that the studied minimum
data set could be a suitable representative of total data set.
Significant correlation between the fuzzy soil quality index and
crop yield (R
2
= 0.72) indicated the index had high biological
significance for studied area. Fuzzy soil quality index approach
(R
2
= 0.99) could be effectively utilized as a tool leading to better
understanding soil quality changes. This is a first trial of creation of
a universal index of soil quality undertaken.
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