Qualitative Land Suitability Evaluation by Parametric and Fuzzy Approaches for Sugar Beet Crop in Sabzevar Plain, Northeast of Iran

Abstract Land evaluation is the process of predicting land-use potential on the basis of its attributes. In the present study, the qualitative land suitability evaluation by parametric and fuzzy approaches was investigated for sugar beet crop in Sabzevar plain, Northeast of Iran. Our results indicat...
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Autor*in:	Bagherzadeh, Ali [verfasserIn] Gholizadeh, Amin [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2016

Schlagwörter:	Land suitability Evaluation Parametric Fuzzy approach Land index Sugar beet

Übergeordnetes Werk:	Enthalten in: Agricultural research - [New Delhi] : Springer India, 2012, 5(2016), 3 vom: 18. Apr., Seite 277-284
Übergeordnetes Werk:	volume:5 ; year:2016 ; number:3 ; day:18 ; month:04 ; pages:277-284

Links:	Volltext

DOI / URN:	10.1007/s40003-016-0210-1

Katalog-ID:	SPR032601387

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520			\|a Abstract Land evaluation is the process of predicting land-use potential on the basis of its attributes. In the present study, the qualitative land suitability evaluation by parametric and fuzzy approaches was investigated for sugar beet crop in Sabzevar plain, Northeast of Iran. Our results indicated that the most limiting factor for sugar beet cultivation in the study area is soil organic carbon. In both models, the suitability classes for sugar beet cultivation were classified into high (S1) in north parts of the plain to moderate suitable (S2) due to lower values of soil organic carbon in southwest and scattered part in the center of the plain. The values of land indexes by parametric and fuzzy logic approaches ranged from 60.55 and 50.50 in some parts in the center and south west to 84.95 and 83.20 in the northern parts of the plain, respectively. The coefficient of determination between the results obtained from both models was R2 = 0.995, which shows a high correlation between the calculated land index values from two approaches. The correlation coefficient between the land index values and the observed sugar beet yield (R2) varied between 0.86 and 0.94 by parametric and fuzzy approaches which verify the validation of both models in estimating land suitability for sugar beet production in the study area.
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allfields	10.1007/s40003-016-0210-1 doi (DE-627)SPR032601387 (SPR)s40003-016-0210-1-e DE-627 ger DE-627 rakwb eng 630 640 ASE Bagherzadeh, Ali verfasserin aut Qualitative Land Suitability Evaluation by Parametric and Fuzzy Approaches for Sugar Beet Crop in Sabzevar Plain, Northeast of Iran 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Land evaluation is the process of predicting land-use potential on the basis of its attributes. In the present study, the qualitative land suitability evaluation by parametric and fuzzy approaches was investigated for sugar beet crop in Sabzevar plain, Northeast of Iran. Our results indicated that the most limiting factor for sugar beet cultivation in the study area is soil organic carbon. In both models, the suitability classes for sugar beet cultivation were classified into high (S1) in north parts of the plain to moderate suitable (S2) due to lower values of soil organic carbon in southwest and scattered part in the center of the plain. The values of land indexes by parametric and fuzzy logic approaches ranged from 60.55 and 50.50 in some parts in the center and south west to 84.95 and 83.20 in the northern parts of the plain, respectively. The coefficient of determination between the results obtained from both models was R2 = 0.995, which shows a high correlation between the calculated land index values from two approaches. The correlation coefficient between the land index values and the observed sugar beet yield (R2) varied between 0.86 and 0.94 by parametric and fuzzy approaches which verify the validation of both models in estimating land suitability for sugar beet production in the study area. Land suitability (dpeaa)DE-He213 Evaluation (dpeaa)DE-He213 Parametric (dpeaa)DE-He213 Fuzzy approach (dpeaa)DE-He213 Land index (dpeaa)DE-He213 Sugar beet (dpeaa)DE-He213 Gholizadeh, Amin verfasserin aut Enthalten in Agricultural research [New Delhi] : Springer India, 2012 5(2016), 3 vom: 18. Apr., Seite 277-284 (DE-627)718730941 (DE-600)2668414-7 2249-7218 nnns volume:5 year:2016 number:3 day:18 month:04 pages:277-284 https://dx.doi.org/10.1007/s40003-016-0210-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 5 2016 3 18 04 277-284
spelling	10.1007/s40003-016-0210-1 doi (DE-627)SPR032601387 (SPR)s40003-016-0210-1-e DE-627 ger DE-627 rakwb eng 630 640 ASE Bagherzadeh, Ali verfasserin aut Qualitative Land Suitability Evaluation by Parametric and Fuzzy Approaches for Sugar Beet Crop in Sabzevar Plain, Northeast of Iran 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Land evaluation is the process of predicting land-use potential on the basis of its attributes. In the present study, the qualitative land suitability evaluation by parametric and fuzzy approaches was investigated for sugar beet crop in Sabzevar plain, Northeast of Iran. Our results indicated that the most limiting factor for sugar beet cultivation in the study area is soil organic carbon. In both models, the suitability classes for sugar beet cultivation were classified into high (S1) in north parts of the plain to moderate suitable (S2) due to lower values of soil organic carbon in southwest and scattered part in the center of the plain. The values of land indexes by parametric and fuzzy logic approaches ranged from 60.55 and 50.50 in some parts in the center and south west to 84.95 and 83.20 in the northern parts of the plain, respectively. The coefficient of determination between the results obtained from both models was R2 = 0.995, which shows a high correlation between the calculated land index values from two approaches. The correlation coefficient between the land index values and the observed sugar beet yield (R2) varied between 0.86 and 0.94 by parametric and fuzzy approaches which verify the validation of both models in estimating land suitability for sugar beet production in the study area. Land suitability (dpeaa)DE-He213 Evaluation (dpeaa)DE-He213 Parametric (dpeaa)DE-He213 Fuzzy approach (dpeaa)DE-He213 Land index (dpeaa)DE-He213 Sugar beet (dpeaa)DE-He213 Gholizadeh, Amin verfasserin aut Enthalten in Agricultural research [New Delhi] : Springer India, 2012 5(2016), 3 vom: 18. Apr., Seite 277-284 (DE-627)718730941 (DE-600)2668414-7 2249-7218 nnns volume:5 year:2016 number:3 day:18 month:04 pages:277-284 https://dx.doi.org/10.1007/s40003-016-0210-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 5 2016 3 18 04 277-284
allfields_unstemmed	10.1007/s40003-016-0210-1 doi (DE-627)SPR032601387 (SPR)s40003-016-0210-1-e DE-627 ger DE-627 rakwb eng 630 640 ASE Bagherzadeh, Ali verfasserin aut Qualitative Land Suitability Evaluation by Parametric and Fuzzy Approaches for Sugar Beet Crop in Sabzevar Plain, Northeast of Iran 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Land evaluation is the process of predicting land-use potential on the basis of its attributes. In the present study, the qualitative land suitability evaluation by parametric and fuzzy approaches was investigated for sugar beet crop in Sabzevar plain, Northeast of Iran. Our results indicated that the most limiting factor for sugar beet cultivation in the study area is soil organic carbon. In both models, the suitability classes for sugar beet cultivation were classified into high (S1) in north parts of the plain to moderate suitable (S2) due to lower values of soil organic carbon in southwest and scattered part in the center of the plain. The values of land indexes by parametric and fuzzy logic approaches ranged from 60.55 and 50.50 in some parts in the center and south west to 84.95 and 83.20 in the northern parts of the plain, respectively. The coefficient of determination between the results obtained from both models was R2 = 0.995, which shows a high correlation between the calculated land index values from two approaches. The correlation coefficient between the land index values and the observed sugar beet yield (R2) varied between 0.86 and 0.94 by parametric and fuzzy approaches which verify the validation of both models in estimating land suitability for sugar beet production in the study area. Land suitability (dpeaa)DE-He213 Evaluation (dpeaa)DE-He213 Parametric (dpeaa)DE-He213 Fuzzy approach (dpeaa)DE-He213 Land index (dpeaa)DE-He213 Sugar beet (dpeaa)DE-He213 Gholizadeh, Amin verfasserin aut Enthalten in Agricultural research [New Delhi] : Springer India, 2012 5(2016), 3 vom: 18. Apr., Seite 277-284 (DE-627)718730941 (DE-600)2668414-7 2249-7218 nnns volume:5 year:2016 number:3 day:18 month:04 pages:277-284 https://dx.doi.org/10.1007/s40003-016-0210-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 5 2016 3 18 04 277-284
allfieldsGer	10.1007/s40003-016-0210-1 doi (DE-627)SPR032601387 (SPR)s40003-016-0210-1-e DE-627 ger DE-627 rakwb eng 630 640 ASE Bagherzadeh, Ali verfasserin aut Qualitative Land Suitability Evaluation by Parametric and Fuzzy Approaches for Sugar Beet Crop in Sabzevar Plain, Northeast of Iran 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Land evaluation is the process of predicting land-use potential on the basis of its attributes. In the present study, the qualitative land suitability evaluation by parametric and fuzzy approaches was investigated for sugar beet crop in Sabzevar plain, Northeast of Iran. Our results indicated that the most limiting factor for sugar beet cultivation in the study area is soil organic carbon. In both models, the suitability classes for sugar beet cultivation were classified into high (S1) in north parts of the plain to moderate suitable (S2) due to lower values of soil organic carbon in southwest and scattered part in the center of the plain. The values of land indexes by parametric and fuzzy logic approaches ranged from 60.55 and 50.50 in some parts in the center and south west to 84.95 and 83.20 in the northern parts of the plain, respectively. The coefficient of determination between the results obtained from both models was R2 = 0.995, which shows a high correlation between the calculated land index values from two approaches. The correlation coefficient between the land index values and the observed sugar beet yield (R2) varied between 0.86 and 0.94 by parametric and fuzzy approaches which verify the validation of both models in estimating land suitability for sugar beet production in the study area. Land suitability (dpeaa)DE-He213 Evaluation (dpeaa)DE-He213 Parametric (dpeaa)DE-He213 Fuzzy approach (dpeaa)DE-He213 Land index (dpeaa)DE-He213 Sugar beet (dpeaa)DE-He213 Gholizadeh, Amin verfasserin aut Enthalten in Agricultural research [New Delhi] : Springer India, 2012 5(2016), 3 vom: 18. Apr., Seite 277-284 (DE-627)718730941 (DE-600)2668414-7 2249-7218 nnns volume:5 year:2016 number:3 day:18 month:04 pages:277-284 https://dx.doi.org/10.1007/s40003-016-0210-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 5 2016 3 18 04 277-284
allfieldsSound	10.1007/s40003-016-0210-1 doi (DE-627)SPR032601387 (SPR)s40003-016-0210-1-e DE-627 ger DE-627 rakwb eng 630 640 ASE Bagherzadeh, Ali verfasserin aut Qualitative Land Suitability Evaluation by Parametric and Fuzzy Approaches for Sugar Beet Crop in Sabzevar Plain, Northeast of Iran 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Land evaluation is the process of predicting land-use potential on the basis of its attributes. In the present study, the qualitative land suitability evaluation by parametric and fuzzy approaches was investigated for sugar beet crop in Sabzevar plain, Northeast of Iran. Our results indicated that the most limiting factor for sugar beet cultivation in the study area is soil organic carbon. In both models, the suitability classes for sugar beet cultivation were classified into high (S1) in north parts of the plain to moderate suitable (S2) due to lower values of soil organic carbon in southwest and scattered part in the center of the plain. The values of land indexes by parametric and fuzzy logic approaches ranged from 60.55 and 50.50 in some parts in the center and south west to 84.95 and 83.20 in the northern parts of the plain, respectively. The coefficient of determination between the results obtained from both models was R2 = 0.995, which shows a high correlation between the calculated land index values from two approaches. The correlation coefficient between the land index values and the observed sugar beet yield (R2) varied between 0.86 and 0.94 by parametric and fuzzy approaches which verify the validation of both models in estimating land suitability for sugar beet production in the study area. Land suitability (dpeaa)DE-He213 Evaluation (dpeaa)DE-He213 Parametric (dpeaa)DE-He213 Fuzzy approach (dpeaa)DE-He213 Land index (dpeaa)DE-He213 Sugar beet (dpeaa)DE-He213 Gholizadeh, Amin verfasserin aut Enthalten in Agricultural research [New Delhi] : Springer India, 2012 5(2016), 3 vom: 18. Apr., Seite 277-284 (DE-627)718730941 (DE-600)2668414-7 2249-7218 nnns volume:5 year:2016 number:3 day:18 month:04 pages:277-284 https://dx.doi.org/10.1007/s40003-016-0210-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 5 2016 3 18 04 277-284
language	English
source	Enthalten in Agricultural research 5(2016), 3 vom: 18. Apr., Seite 277-284 volume:5 year:2016 number:3 day:18 month:04 pages:277-284
sourceStr	Enthalten in Agricultural research 5(2016), 3 vom: 18. Apr., Seite 277-284 volume:5 year:2016 number:3 day:18 month:04 pages:277-284
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Land suitability Evaluation Parametric Fuzzy approach Land index Sugar beet
dewey-raw	630
isfreeaccess_bool	false
container_title	Agricultural research
authorswithroles_txt_mv	Bagherzadeh, Ali @@aut@@ Gholizadeh, Amin @@aut@@
publishDateDaySort_date	2016-04-18T00:00:00Z
hierarchy_top_id	718730941
dewey-sort	3630
id	SPR032601387
language_de	englisch
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In the present study, the qualitative land suitability evaluation by parametric and fuzzy approaches was investigated for sugar beet crop in Sabzevar plain, Northeast of Iran. Our results indicated that the most limiting factor for sugar beet cultivation in the study area is soil organic carbon. In both models, the suitability classes for sugar beet cultivation were classified into high (S1) in north parts of the plain to moderate suitable (S2) due to lower values of soil organic carbon in southwest and scattered part in the center of the plain. The values of land indexes by parametric and fuzzy logic approaches ranged from 60.55 and 50.50 in some parts in the center and south west to 84.95 and 83.20 in the northern parts of the plain, respectively. The coefficient of determination between the results obtained from both models was R2 = 0.995, which shows a high correlation between the calculated land index values from two approaches. 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author	Bagherzadeh, Ali
spellingShingle	Bagherzadeh, Ali ddc 630 misc Land suitability misc Evaluation misc Parametric misc Fuzzy approach misc Land index misc Sugar beet Qualitative Land Suitability Evaluation by Parametric and Fuzzy Approaches for Sugar Beet Crop in Sabzevar Plain, Northeast of Iran
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topic_title	630 640 ASE Qualitative Land Suitability Evaluation by Parametric and Fuzzy Approaches for Sugar Beet Crop in Sabzevar Plain, Northeast of Iran Land suitability (dpeaa)DE-He213 Evaluation (dpeaa)DE-He213 Parametric (dpeaa)DE-He213 Fuzzy approach (dpeaa)DE-He213 Land index (dpeaa)DE-He213 Sugar beet (dpeaa)DE-He213
topic	ddc 630 misc Land suitability misc Evaluation misc Parametric misc Fuzzy approach misc Land index misc Sugar beet
topic_unstemmed	ddc 630 misc Land suitability misc Evaluation misc Parametric misc Fuzzy approach misc Land index misc Sugar beet
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title	Qualitative Land Suitability Evaluation by Parametric and Fuzzy Approaches for Sugar Beet Crop in Sabzevar Plain, Northeast of Iran
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title_full	Qualitative Land Suitability Evaluation by Parametric and Fuzzy Approaches for Sugar Beet Crop in Sabzevar Plain, Northeast of Iran
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title_sort	qualitative land suitability evaluation by parametric and fuzzy approaches for sugar beet crop in sabzevar plain, northeast of iran
title_auth	Qualitative Land Suitability Evaluation by Parametric and Fuzzy Approaches for Sugar Beet Crop in Sabzevar Plain, Northeast of Iran
abstract	Abstract Land evaluation is the process of predicting land-use potential on the basis of its attributes. In the present study, the qualitative land suitability evaluation by parametric and fuzzy approaches was investigated for sugar beet crop in Sabzevar plain, Northeast of Iran. Our results indicated that the most limiting factor for sugar beet cultivation in the study area is soil organic carbon. In both models, the suitability classes for sugar beet cultivation were classified into high (S1) in north parts of the plain to moderate suitable (S2) due to lower values of soil organic carbon in southwest and scattered part in the center of the plain. The values of land indexes by parametric and fuzzy logic approaches ranged from 60.55 and 50.50 in some parts in the center and south west to 84.95 and 83.20 in the northern parts of the plain, respectively. The coefficient of determination between the results obtained from both models was R2 = 0.995, which shows a high correlation between the calculated land index values from two approaches. The correlation coefficient between the land index values and the observed sugar beet yield (R2) varied between 0.86 and 0.94 by parametric and fuzzy approaches which verify the validation of both models in estimating land suitability for sugar beet production in the study area.
abstractGer	Abstract Land evaluation is the process of predicting land-use potential on the basis of its attributes. In the present study, the qualitative land suitability evaluation by parametric and fuzzy approaches was investigated for sugar beet crop in Sabzevar plain, Northeast of Iran. Our results indicated that the most limiting factor for sugar beet cultivation in the study area is soil organic carbon. In both models, the suitability classes for sugar beet cultivation were classified into high (S1) in north parts of the plain to moderate suitable (S2) due to lower values of soil organic carbon in southwest and scattered part in the center of the plain. The values of land indexes by parametric and fuzzy logic approaches ranged from 60.55 and 50.50 in some parts in the center and south west to 84.95 and 83.20 in the northern parts of the plain, respectively. The coefficient of determination between the results obtained from both models was R2 = 0.995, which shows a high correlation between the calculated land index values from two approaches. The correlation coefficient between the land index values and the observed sugar beet yield (R2) varied between 0.86 and 0.94 by parametric and fuzzy approaches which verify the validation of both models in estimating land suitability for sugar beet production in the study area.
abstract_unstemmed	Abstract Land evaluation is the process of predicting land-use potential on the basis of its attributes. In the present study, the qualitative land suitability evaluation by parametric and fuzzy approaches was investigated for sugar beet crop in Sabzevar plain, Northeast of Iran. Our results indicated that the most limiting factor for sugar beet cultivation in the study area is soil organic carbon. In both models, the suitability classes for sugar beet cultivation were classified into high (S1) in north parts of the plain to moderate suitable (S2) due to lower values of soil organic carbon in southwest and scattered part in the center of the plain. The values of land indexes by parametric and fuzzy logic approaches ranged from 60.55 and 50.50 in some parts in the center and south west to 84.95 and 83.20 in the northern parts of the plain, respectively. The coefficient of determination between the results obtained from both models was R2 = 0.995, which shows a high correlation between the calculated land index values from two approaches. The correlation coefficient between the land index values and the observed sugar beet yield (R2) varied between 0.86 and 0.94 by parametric and fuzzy approaches which verify the validation of both models in estimating land suitability for sugar beet production in the study area.
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container_issue	3
title_short	Qualitative Land Suitability Evaluation by Parametric and Fuzzy Approaches for Sugar Beet Crop in Sabzevar Plain, Northeast of Iran
url	https://dx.doi.org/10.1007/s40003-016-0210-1
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author2	Gholizadeh, Amin
author2Str	Gholizadeh, Amin
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doi_str	10.1007/s40003-016-0210-1
up_date	2024-07-03T13:46:14.283Z
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Qualitative Land Suitability Evaluation by Parametric and Fuzzy Approaches for Sugar Beet Crop in Sabzevar Plain, Northeast of Iran

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