Use fuzzy interface systems to optimize land suitability evaluation for surface and trickle irrigation
In this study fuzzy logic system was used for optimization parametric evaluation system in surface and trickle irrigations. This study was performed on a surface area of 5175 ha in fathali region located in Ardabil province of Iran. It was indicated that for trickle and surface irrigation respective...
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| Format: | Article |
| Language: | English |
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Elsevier
2019-03-01
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| Series: | Information Processing in Agriculture |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214317318302208 |
| _version_ | 1797700775480131584 |
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| author | Yaser Hoseini |
| author_facet | Yaser Hoseini |
| author_sort | Yaser Hoseini |
| collection | DOAJ |
| description | In this study fuzzy logic system was used for optimization parametric evaluation system in surface and trickle irrigations. This study was performed on a surface area of 5175 ha in fathali region located in Ardabil province of Iran. It was indicated that for trickle and surface irrigation respectively an area of about 2941.35 ha (56.77%) and 159.81 ha (3%) of the lands is “highly suitable” and an area of about 246.43 ha (4.7%) and 312.69 ha (6%) is “moderately suitable”. About 797.1 ha (15.4%) and 2744.17 ha (53.02%) were respectively “marginally suitable” for trickle and surface irrigations. “Currently not suitable” suitability included about 737.58 ha (14.2%) and 1746.05 ha (33.7%) and “Permanently not suitable” suitability matched 458.54 ha (8.86%) and 212.28 ha (4.1%) in the zone under study. According to the results, there is a major difference between the “highly suitable” lands obtained through the two methods and the area of “highly suitable” lands in the trickle method is about 18 times of the area of ‘highly suitable” obtained through the surface irrigation method. As a result, considering the gradual changes of soil parameters, fuzzy evaluation leads to more accuracy compared to the parametric non fuzzy method. By and large, it can be said that fuzzy method, shows higher qualities about the suitability of lands for trickle irrigation. Keywords: Surface irrigation, Evaluation of lands, Trickle irrigation, Optimization |
| first_indexed | 2024-03-12T04:26:30Z |
| format | Article |
| id | doaj.art-06cbefdcf79747daa280caa8eeb38fdd |
| institution | Directory Open Access Journal |
| issn | 2214-3173 |
| language | English |
| last_indexed | 2024-03-12T04:26:30Z |
| publishDate | 2019-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Information Processing in Agriculture |
| spelling | doaj.art-06cbefdcf79747daa280caa8eeb38fdd2023-09-03T10:18:36ZengElsevierInformation Processing in Agriculture2214-31732019-03-01611119Use fuzzy interface systems to optimize land suitability evaluation for surface and trickle irrigationYaser Hoseini0Moghan College of Agriculture and Natural Resource, University of Mohaghegh Ardabili, Ardabil, IranIn this study fuzzy logic system was used for optimization parametric evaluation system in surface and trickle irrigations. This study was performed on a surface area of 5175 ha in fathali region located in Ardabil province of Iran. It was indicated that for trickle and surface irrigation respectively an area of about 2941.35 ha (56.77%) and 159.81 ha (3%) of the lands is “highly suitable” and an area of about 246.43 ha (4.7%) and 312.69 ha (6%) is “moderately suitable”. About 797.1 ha (15.4%) and 2744.17 ha (53.02%) were respectively “marginally suitable” for trickle and surface irrigations. “Currently not suitable” suitability included about 737.58 ha (14.2%) and 1746.05 ha (33.7%) and “Permanently not suitable” suitability matched 458.54 ha (8.86%) and 212.28 ha (4.1%) in the zone under study. According to the results, there is a major difference between the “highly suitable” lands obtained through the two methods and the area of “highly suitable” lands in the trickle method is about 18 times of the area of ‘highly suitable” obtained through the surface irrigation method. As a result, considering the gradual changes of soil parameters, fuzzy evaluation leads to more accuracy compared to the parametric non fuzzy method. By and large, it can be said that fuzzy method, shows higher qualities about the suitability of lands for trickle irrigation. Keywords: Surface irrigation, Evaluation of lands, Trickle irrigation, Optimizationhttp://www.sciencedirect.com/science/article/pii/S2214317318302208 |
| spellingShingle | Yaser Hoseini Use fuzzy interface systems to optimize land suitability evaluation for surface and trickle irrigation Information Processing in Agriculture |
| title | Use fuzzy interface systems to optimize land suitability evaluation for surface and trickle irrigation |
| title_full | Use fuzzy interface systems to optimize land suitability evaluation for surface and trickle irrigation |
| title_fullStr | Use fuzzy interface systems to optimize land suitability evaluation for surface and trickle irrigation |
| title_full_unstemmed | Use fuzzy interface systems to optimize land suitability evaluation for surface and trickle irrigation |
| title_short | Use fuzzy interface systems to optimize land suitability evaluation for surface and trickle irrigation |
| title_sort | use fuzzy interface systems to optimize land suitability evaluation for surface and trickle irrigation |
| url | http://www.sciencedirect.com/science/article/pii/S2214317318302208 |
| work_keys_str_mv | AT yaserhoseini usefuzzyinterfacesystemstooptimizelandsuitabilityevaluationforsurfaceandtrickleirrigation |