Soil suitability evaluation for crop selection using fuzzy sets methodology
In this study appraisal of four different agricultural land evaluation methods including the so-called Storie method, square root method, maximum limitation method and fuzzy sets method, was done. The study was performed in Bastam region, located in Semnan province at the north east of Iran.<stro...
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University of Ljubljana, Biotechnical Faculty
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doaj-d917076f088f48079ab032eca2f92b1c2020-11-24T23:46:54ZengUniversity of Ljubljana, Biotechnical FacultyActa Agriculturae Slovenica1581-91751854-19412016-04-01107115917410.14720/aas.2016.107.1.16114Soil suitability evaluation for crop selection using fuzzy sets methodologyAmin SHARIFIFAR0Hadi GHORBANI1Fereydoon SARMADIAN2Faculty of Agriculture, Shahrood University of Technology, Shahrood, 36199-95161, IranFaculty of Agriculture, Shahrood University of Technology, Shahrood, 36199-95161, IranFaculty of Agricultural Engineering and Technology, University College of Agriculture and Natural Resources, University of Tehran, P.O. Box 31587-77871, Karaj, IranIn this study appraisal of four different agricultural land evaluation methods including the so-called Storie method, square root method, maximum limitation method and fuzzy sets method, was done. The study was performed in Bastam region, located in Semnan province at the north east of Iran.<strong> </strong>Three crops including tomato, wheat and potato were assessed for the purpose of this research. Soil characteristics assessed were rooting depth, CaCo<sub>3, </sub>organic carboncontent, clay content, pH and slope gradient. Statistical analyses were done at significance levels of <em>α </em>= 0.1 and <em>α</em> = 0.05. Results of regression between land indices, calculated through the four methods, with observed yields of the crops, showed that the regression were significant in fuzzy sets method for all of the assessed crops at <em>p </em>= 0.05 but not significant in maximum limitation method for any of the crops. The Storie and square root methods also showed a significant correlation with wheat yield at <em>p </em>= 0.1. This study was a demonstrative test of fuzzy sets theory in land suitability evaluation for agricultural uses, which revealed that this methodology is the most correct method in given circumstances.http://ojs.aas.bf.uni-lj.si/index.php/AAS/article/view/191fuzzy sets, land evaluation, land use, soil classification, crop growth conditions, soil suitability, crop selection |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Amin SHARIFIFAR Hadi GHORBANI Fereydoon SARMADIAN |
spellingShingle |
Amin SHARIFIFAR Hadi GHORBANI Fereydoon SARMADIAN Soil suitability evaluation for crop selection using fuzzy sets methodology Acta Agriculturae Slovenica fuzzy sets, land evaluation, land use, soil classification, crop growth conditions, soil suitability, crop selection |
author_facet |
Amin SHARIFIFAR Hadi GHORBANI Fereydoon SARMADIAN |
author_sort |
Amin SHARIFIFAR |
title |
Soil suitability evaluation for crop selection using fuzzy sets methodology |
title_short |
Soil suitability evaluation for crop selection using fuzzy sets methodology |
title_full |
Soil suitability evaluation for crop selection using fuzzy sets methodology |
title_fullStr |
Soil suitability evaluation for crop selection using fuzzy sets methodology |
title_full_unstemmed |
Soil suitability evaluation for crop selection using fuzzy sets methodology |
title_sort |
soil suitability evaluation for crop selection using fuzzy sets methodology |
publisher |
University of Ljubljana, Biotechnical Faculty |
series |
Acta Agriculturae Slovenica |
issn |
1581-9175 1854-1941 |
publishDate |
2016-04-01 |
description |
In this study appraisal of four different agricultural land evaluation methods including the so-called Storie method, square root method, maximum limitation method and fuzzy sets method, was done. The study was performed in Bastam region, located in Semnan province at the north east of Iran.<strong> </strong>Three crops including tomato, wheat and potato were assessed for the purpose of this research. Soil characteristics assessed were rooting depth, CaCo<sub>3, </sub>organic carboncontent, clay content, pH and slope gradient. Statistical analyses were done at significance levels of <em>α </em>= 0.1 and <em>α</em> = 0.05. Results of regression between land indices, calculated through the four methods, with observed yields of the crops, showed that the regression were significant in fuzzy sets method for all of the assessed crops at <em>p </em>= 0.05 but not significant in maximum limitation method for any of the crops. The Storie and square root methods also showed a significant correlation with wheat yield at <em>p </em>= 0.1. This study was a demonstrative test of fuzzy sets theory in land suitability evaluation for agricultural uses, which revealed that this methodology is the most correct method in given circumstances. |
topic |
fuzzy sets, land evaluation, land use, soil classification, crop growth conditions, soil suitability, crop selection |
url |
http://ojs.aas.bf.uni-lj.si/index.php/AAS/article/view/191 |
work_keys_str_mv |
AT aminsharififar soilsuitabilityevaluationforcropselectionusingfuzzysetsmethodology AT hadighorbani soilsuitabilityevaluationforcropselectionusingfuzzysetsmethodology AT fereydoonsarmadian soilsuitabilityevaluationforcropselectionusingfuzzysetsmethodology |
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