GIS-based fuzzy membership model for crop-land suitability analysis
Identifieur interne : 001004 ( Istex/Corpus ); précédent : 001003; suivant : 001005GIS-based fuzzy membership model for crop-land suitability analysis
Auteurs : T. R. Nisar Ahamed ; K. Gopal Rao ; J. S. R. MurthySource :
- Agricultural Systems [ 0308-521X ] ; 2000.
Abstract
Crop-land suitability analysis is a prerequisite to achieve optimum utilisation of the available land resources for sustainable agricultural production. The Food and Agricultural Organisation [FAO, 1976. A framework for land evaluation (Soils Bulletin No. 32). FAO, Rome.] recommended an approach for land suitability evaluation for crops in terms of suitability ratings from highly suitable to not suitable based on climatic and terrain data and soil properties crop-wise. The assignment of a given area element (pixel) to any one suitability class is encountered with problems due to the variation of soil properties within the area as well as matching of the soil properties with more than one suitability class to different extents. The Boolean methods are designed to assign a pixel to a single class and no provision exists for assigning partial suitability to each of the appropriate suitability classes. In the present study the use of fuzzy (partial) membership classification is used to accommodate the above uncertainty in assigning the suitability classes to the pixel. The evaluation of the spatial variability of relevant terrain parameters is carried out in a geographic information system environment while assigning the land suitability for crops in the study area of Kalyanakere sub-watershed in Karnataka. Nine parameters (eight of soil and one of topography) are considered and suitability analysis is carried out by fuzzy membership classification with due weightage factors included to accommodate the relative importance of the soil parameters governing the crop productivity. According to the field information, the crop being grown in maximum area is finger millet. However, the crop-land evaluation results of the present study reveal that maximum area is potentially suitable for growing ground nut.
Url:
DOI: 10.1016/S0308-521X(99)00036-0
Links to Exploration step
ISTEX:996BE94CA1A71D6FC204D24F5198DFD2C9AE7B53Le document en format XML
<record><TEI wicri:istexFullTextTei="biblStruct"><teiHeader><fileDesc><titleStmt><title>GIS-based fuzzy membership model for crop-land suitability analysis</title><author><name sortKey="Nisar Ahamed, T R" sort="Nisar Ahamed, T R" uniqKey="Nisar Ahamed T" first="T. R." last="Nisar Ahamed">T. R. Nisar Ahamed</name><affiliation><mods:affiliation>Department of Civil Engineering, Indian Institute of Technology, Powai, Mumbai 400 076, India</mods:affiliation></affiliation></author><author><name sortKey="Gopal Rao, K" sort="Gopal Rao, K" uniqKey="Gopal Rao K" first="K." last="Gopal Rao">K. Gopal Rao</name><affiliation><mods:affiliation>Department of Civil Engineering, Indian Institute of Technology, Powai, Mumbai 400 076, India</mods:affiliation></affiliation></author><author><name sortKey="Murthy, J S R" sort="Murthy, J S R" uniqKey="Murthy J" first="J. S. R." last="Murthy">J. S. R. Murthy</name><affiliation><mods:affiliation>Department of Civil Engineering, Indian Institute of Technology, Powai, Mumbai 400 076, India</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: jsrmty@civil.iitb.ernet.in</mods:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">ISTEX</idno><idno type="RBID">ISTEX:996BE94CA1A71D6FC204D24F5198DFD2C9AE7B53</idno><date when="2000" year="2000">2000</date><idno type="doi">10.1016/S0308-521X(99)00036-0</idno><idno type="url">https://api.istex.fr/document/996BE94CA1A71D6FC204D24F5198DFD2C9AE7B53/fulltext/pdf</idno><idno type="wicri:Area/Istex/Corpus">001004</idno><idno type="wicri:explorRef" wicri:stream="Istex" wicri:step="Corpus" wicri:corpus="ISTEX">001004</idno></publicationStmt><sourceDesc><biblStruct><analytic><title level="a">GIS-based fuzzy membership model for crop-land suitability analysis</title><author><name sortKey="Nisar Ahamed, T R" sort="Nisar Ahamed, T R" uniqKey="Nisar Ahamed T" first="T. R." last="Nisar Ahamed">T. R. Nisar Ahamed</name><affiliation><mods:affiliation>Department of Civil Engineering, Indian Institute of Technology, Powai, Mumbai 400 076, India</mods:affiliation></affiliation></author><author><name sortKey="Gopal Rao, K" sort="Gopal Rao, K" uniqKey="Gopal Rao K" first="K." last="Gopal Rao">K. Gopal Rao</name><affiliation><mods:affiliation>Department of Civil Engineering, Indian Institute of Technology, Powai, Mumbai 400 076, India</mods:affiliation></affiliation></author><author><name sortKey="Murthy, J S R" sort="Murthy, J S R" uniqKey="Murthy J" first="J. S. R." last="Murthy">J. S. R. Murthy</name><affiliation><mods:affiliation>Department of Civil Engineering, Indian Institute of Technology, Powai, Mumbai 400 076, India</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: jsrmty@civil.iitb.ernet.in</mods:affiliation></affiliation></author></analytic><monogr></monogr><series><title level="j">Agricultural Systems</title><title level="j" type="abbrev">AGSY</title><idno type="ISSN">0308-521X</idno><imprint><publisher>ELSEVIER</publisher><date type="published" when="2000">2000</date><biblScope unit="volume">63</biblScope><biblScope unit="issue">2</biblScope><biblScope unit="page" from="75">75</biblScope><biblScope unit="page" to="95">95</biblScope></imprint><idno type="ISSN">0308-521X</idno></series><idno type="istex">996BE94CA1A71D6FC204D24F5198DFD2C9AE7B53</idno><idno type="DOI">10.1016/S0308-521X(99)00036-0</idno><idno type="PII">S0308-521X(99)00036-0</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0308-521X</idno></seriesStmt></fileDesc><profileDesc><textClass></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Crop-land suitability analysis is a prerequisite to achieve optimum utilisation of the available land resources for sustainable agricultural production. The Food and Agricultural Organisation [FAO, 1976. A framework for land evaluation (Soils Bulletin No. 32). FAO, Rome.] recommended an approach for land suitability evaluation for crops in terms of suitability ratings from highly suitable to not suitable based on climatic and terrain data and soil properties crop-wise. The assignment of a given area element (pixel) to any one suitability class is encountered with problems due to the variation of soil properties within the area as well as matching of the soil properties with more than one suitability class to different extents. The Boolean methods are designed to assign a pixel to a single class and no provision exists for assigning partial suitability to each of the appropriate suitability classes. In the present study the use of fuzzy (partial) membership classification is used to accommodate the above uncertainty in assigning the suitability classes to the pixel. The evaluation of the spatial variability of relevant terrain parameters is carried out in a geographic information system environment while assigning the land suitability for crops in the study area of Kalyanakere sub-watershed in Karnataka. Nine parameters (eight of soil and one of topography) are considered and suitability analysis is carried out by fuzzy membership classification with due weightage factors included to accommodate the relative importance of the soil parameters governing the crop productivity. According to the field information, the crop being grown in maximum area is finger millet. However, the crop-land evaluation results of the present study reveal that maximum area is potentially suitable for growing ground nut.</div></front></TEI><istex><corpusName>elsevier</corpusName><author><json:item><name>T.R. Nisar Ahamed</name><affiliations><json:string>Department of Civil Engineering, Indian Institute of Technology, Powai, Mumbai 400 076, India</json:string></affiliations></json:item><json:item><name>K. Gopal Rao</name><affiliations><json:string>Department of Civil Engineering, Indian Institute of Technology, Powai, Mumbai 400 076, India</json:string></affiliations></json:item><json:item><name>J.S.R. Murthy</name><affiliations><json:string>Department of Civil Engineering, Indian Institute of Technology, Powai, Mumbai 400 076, India</json:string><json:string>E-mail: jsrmty@civil.iitb.ernet.in</json:string></affiliations></json:item></author><subject><json:item><lang><json:string>eng</json:string></lang><value>Land evaluation</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Suitability criteria</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Classification</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Fuzzy membership</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>GIS</value></json:item></subject><language><json:string>eng</json:string></language><originalGenre><json:string>Full-length article</json:string></originalGenre><abstract>Crop-land suitability analysis is a prerequisite to achieve optimum utilisation of the available land resources for sustainable agricultural production. The Food and Agricultural Organisation [FAO, 1976. A framework for land evaluation (Soils Bulletin No. 32). FAO, Rome.] recommended an approach for land suitability evaluation for crops in terms of suitability ratings from highly suitable to not suitable based on climatic and terrain data and soil properties crop-wise. The assignment of a given area element (pixel) to any one suitability class is encountered with problems due to the variation of soil properties within the area as well as matching of the soil properties with more than one suitability class to different extents. The Boolean methods are designed to assign a pixel to a single class and no provision exists for assigning partial suitability to each of the appropriate suitability classes. In the present study the use of fuzzy (partial) membership classification is used to accommodate the above uncertainty in assigning the suitability classes to the pixel. The evaluation of the spatial variability of relevant terrain parameters is carried out in a geographic information system environment while assigning the land suitability for crops in the study area of Kalyanakere sub-watershed in Karnataka. Nine parameters (eight of soil and one of topography) are considered and suitability analysis is carried out by fuzzy membership classification with due weightage factors included to accommodate the relative importance of the soil parameters governing the crop productivity. According to the field information, the crop being grown in maximum area is finger millet. However, the crop-land evaluation results of the present study reveal that maximum area is potentially suitable for growing ground nut.</abstract><qualityIndicators><score>8</score><pdfVersion>1.2</pdfVersion><pdfPageSize>544 x 743 pts</pdfPageSize><refBibsNative>true</refBibsNative><keywordCount>5</keywordCount><abstractCharCount>1826</abstractCharCount><pdfWordCount>5080</pdfWordCount><pdfCharCount>30073</pdfCharCount><pdfPageCount>21</pdfPageCount><abstractWordCount>274</abstractWordCount></qualityIndicators><title>GIS-based fuzzy membership model for crop-land suitability analysis</title><pii><json:string>S0308-521X(99)00036-0</json:string></pii><genre><json:string>research-article</json:string></genre><host><volume>63</volume><pii><json:string>S0308-521X(00)X0059-5</json:string></pii><pages><last>95</last><first>75</first></pages><issn><json:string>0308-521X</json:string></issn><issue>2</issue><genre><json:string>journal</json:string></genre><language><json:string>unknown</json:string></language><title>Agricultural Systems</title><publicationDate>2000</publicationDate></host><categories><wos><json:string>science</json:string><json:string>agriculture, multidisciplinary</json:string></wos><scienceMetrix><json:string>applied sciences</json:string><json:string>agriculture, fisheries & forestry</json:string><json:string>agronomy & agriculture</json:string></scienceMetrix></categories><publicationDate>2000</publicationDate><copyrightDate>2000</copyrightDate><doi><json:string>10.1016/S0308-521X(99)00036-0</json:string></doi><id>996BE94CA1A71D6FC204D24F5198DFD2C9AE7B53</id><score>0.040742334</score><fulltext><json:item><extension>pdf</extension><original>true</original><mimetype>application/pdf</mimetype><uri>https://api.istex.fr/document/996BE94CA1A71D6FC204D24F5198DFD2C9AE7B53/fulltext/pdf</uri></json:item><json:item><extension>zip</extension><original>false</original><mimetype>application/zip</mimetype><uri>https://api.istex.fr/document/996BE94CA1A71D6FC204D24F5198DFD2C9AE7B53/fulltext/zip</uri></json:item><istex:fulltextTEI uri="https://api.istex.fr/document/996BE94CA1A71D6FC204D24F5198DFD2C9AE7B53/fulltext/tei"><teiHeader><fileDesc><titleStmt><title level="a">GIS-based fuzzy membership model for crop-land suitability analysis</title></titleStmt><publicationStmt><authority>ISTEX</authority><publisher>ELSEVIER</publisher><availability><p>©2000 Elsevier Science Ltd</p></availability><date>2000</date></publicationStmt><notesStmt><note type="content">Fig. 1: Location map of study area.</note><note type="content">Fig. 2: Contour map (5 m interval).</note><note type="content">Fig. 3: Digital Elevation Model of study area.</note><note type="content">Fig. 4: Fuzzy membership and GIS approach for land suitability analysis. DEM, Digital Elevation Model; CEC, cation exchange capacity; GIS, geographical information system.</note><note type="content">Fig. 5: Fuzzy membership approach — crop suitability class assignment.</note><note type="content">Fig. 6: Highest suitability class map for finger millet (a) without weights, (b) with weights and highest suitability cross-classification map (c) without and with weights. (d) Highest suitability class for finger millet. (e) Highest suitability cross-classification for finger millet.</note><note type="content">Fig. 7: Highest suitability class map for paddy (a) without weights, (b) with weights and highest suitability cross-classification map (c) without and with weights. (d) Highest suitability class for paddy. (e) Highest suitability cross-classification for paddy.</note><note type="content">Fig. 8: Highest suitability class map for ground nut (a) without weights, (b) with weights and highest suitability cross-classification map (c) without and with weights. (d) Highest suitability class for ground nut. (e) Highest suitability cross-classification for ground nut.</note><note type="content">Fig. 9: Highest suitability crop map (a) without weights, (b) with weights and highest suitability cross-classification map (c) without and with weights. (d) Highest suitability crop. (e) Highest suitability crop cross-classification.</note><note type="content">Table 1: Saaty's importance scale</note><note type="content">Table 2: Land suitability for (a) finger millet, (b) paddy and (c) ground nut — criteria and ratings</note><note type="content">Table 4: Representative matrix of suitability class and parameter values for (a) finger millet, (b) paddy and (c) ground nut</note><note type="content">Table 3: Important matrix for suitability of (a) finger millet, (b) paddy and (c) ground nut</note></notesStmt><sourceDesc><biblStruct type="inbook"><analytic><title level="a">GIS-based fuzzy membership model for crop-land suitability analysis</title><author xml:id="author-1"><persName><forename type="first">T.R.</forename><surname>Nisar Ahamed</surname></persName><affiliation>Department of Civil Engineering, Indian Institute of Technology, Powai, Mumbai 400 076, India</affiliation></author><author xml:id="author-2"><persName><forename type="first">K.</forename><surname>Gopal Rao</surname></persName><affiliation>Department of Civil Engineering, Indian Institute of Technology, Powai, Mumbai 400 076, India</affiliation></author><author xml:id="author-3"><persName><forename type="first">J.S.R.</forename><surname>Murthy</surname></persName><email>jsrmty@civil.iitb.ernet.in</email><note type="correspondence"><p>Corresponding author. Tel.: +91-22-578-2545; fax: +91-22-578-3480</p></note><affiliation>Department of Civil Engineering, Indian Institute of Technology, Powai, Mumbai 400 076, India</affiliation></author></analytic><monogr><title level="j">Agricultural Systems</title><title level="j" type="abbrev">AGSY</title><idno type="pISSN">0308-521X</idno><idno type="PII">S0308-521X(00)X0059-5</idno><imprint><publisher>ELSEVIER</publisher><date type="published" when="2000"></date><biblScope unit="volume">63</biblScope><biblScope unit="issue">2</biblScope><biblScope unit="page" from="75">75</biblScope><biblScope unit="page" to="95">95</biblScope></imprint></monogr><idno type="istex">996BE94CA1A71D6FC204D24F5198DFD2C9AE7B53</idno><idno type="DOI">10.1016/S0308-521X(99)00036-0</idno><idno type="PII">S0308-521X(99)00036-0</idno></biblStruct></sourceDesc></fileDesc><profileDesc><creation><date>2000</date></creation><langUsage><language ident="en">en</language></langUsage><abstract xml:lang="en"><p>Crop-land suitability analysis is a prerequisite to achieve optimum utilisation of the available land resources for sustainable agricultural production. The Food and Agricultural Organisation [FAO, 1976. A framework for land evaluation (Soils Bulletin No. 32). FAO, Rome.] recommended an approach for land suitability evaluation for crops in terms of suitability ratings from highly suitable to not suitable based on climatic and terrain data and soil properties crop-wise. The assignment of a given area element (pixel) to any one suitability class is encountered with problems due to the variation of soil properties within the area as well as matching of the soil properties with more than one suitability class to different extents. The Boolean methods are designed to assign a pixel to a single class and no provision exists for assigning partial suitability to each of the appropriate suitability classes. In the present study the use of fuzzy (partial) membership classification is used to accommodate the above uncertainty in assigning the suitability classes to the pixel. The evaluation of the spatial variability of relevant terrain parameters is carried out in a geographic information system environment while assigning the land suitability for crops in the study area of Kalyanakere sub-watershed in Karnataka. Nine parameters (eight of soil and one of topography) are considered and suitability analysis is carried out by fuzzy membership classification with due weightage factors included to accommodate the relative importance of the soil parameters governing the crop productivity. According to the field information, the crop being grown in maximum area is finger millet. However, the crop-land evaluation results of the present study reveal that maximum area is potentially suitable for growing ground nut.</p></abstract><textClass><keywords scheme="keyword"><list><head>Keywords</head><item><term>Land evaluation</term></item><item><term>Suitability criteria</term></item><item><term>Classification</term></item><item><term>Fuzzy membership</term></item><item><term>GIS</term></item></list></keywords></textClass></profileDesc><revisionDesc><change when="1999-05-16">Modified</change><change when="2000">Published</change></revisionDesc></teiHeader></istex:fulltextTEI><json:item><extension>txt</extension><original>false</original><mimetype>text/plain</mimetype><uri>https://api.istex.fr/document/996BE94CA1A71D6FC204D24F5198DFD2C9AE7B53/fulltext/txt</uri></json:item></fulltext><metadata><istex:metadataXml wicri:clean="Elsevier, elements deleted: ce:floats; body; tail"><istex:xmlDeclaration>version="1.0" encoding="utf-8"</istex:xmlDeclaration><istex:docType PUBLIC="-//ES//DTD journal article DTD version 4.5.2//EN//XML" URI="art452.dtd" name="istex:docType"><istex:entity SYSTEM="gr1" NDATA="IMAGE" name="gr1"></istex:entity><istex:entity SYSTEM="gr2" NDATA="IMAGE" name="gr2"></istex:entity><istex:entity SYSTEM="gr3" NDATA="IMAGE" name="gr3"></istex:entity><istex:entity SYSTEM="gr4" NDATA="IMAGE" name="gr4"></istex:entity><istex:entity SYSTEM="gr5" NDATA="IMAGE" name="gr5"></istex:entity><istex:entity SYSTEM="gr6" NDATA="IMAGE" name="gr6"></istex:entity><istex:entity SYSTEM="gr7" NDATA="IMAGE" name="gr7"></istex:entity><istex:entity SYSTEM="gr8" NDATA="IMAGE" name="gr8"></istex:entity><istex:entity SYSTEM="gr9" NDATA="IMAGE" name="gr9"></istex:entity></istex:docType><istex:document><converted-article version="4.5.2" docsubtype="fla"><item-info><jid>AGSY</jid><aid>565</aid><ce:pii>S0308-521X(99)00036-0</ce:pii><ce:doi>10.1016/S0308-521X(99)00036-0</ce:doi><ce:copyright type="full-transfer" year="2000">Elsevier Science Ltd</ce:copyright></item-info><head><ce:title>GIS-based fuzzy membership model for crop-land suitability analysis</ce:title><ce:author-group><ce:author><ce:given-name>T.R.</ce:given-name><ce:surname>Nisar Ahamed</ce:surname></ce:author><ce:author><ce:given-name>K.</ce:given-name><ce:surname>Gopal Rao</ce:surname></ce:author><ce:author><ce:given-name>J.S.R.</ce:given-name><ce:surname>Murthy</ce:surname><ce:cross-ref refid="COR1">*</ce:cross-ref><ce:e-address>jsrmty@civil.iitb.ernet.in</ce:e-address></ce:author><ce:affiliation><ce:textfn>Department of Civil Engineering, Indian Institute of Technology, Powai, Mumbai 400 076, India</ce:textfn></ce:affiliation><ce:correspondence id="COR1"><ce:label>*</ce:label><ce:text>Corresponding author. Tel.: +91-22-578-2545; fax: +91-22-578-3480</ce:text></ce:correspondence></ce:author-group><ce:date-received day="4" month="12" year="1998"></ce:date-received><ce:date-revised day="16" month="5" year="1999"></ce:date-revised><ce:date-accepted day="17" month="6" year="1999"></ce:date-accepted><ce:abstract><ce:section-title>Abstract</ce:section-title><ce:abstract-sec><ce:simple-para>Crop-land suitability analysis is a prerequisite to achieve optimum utilisation of the available land resources for sustainable agricultural production. The Food and Agricultural Organisation [FAO, 1976. A framework for land evaluation (Soils Bulletin No. 32). FAO, Rome.] recommended an approach for land suitability evaluation for crops in terms of suitability ratings from highly suitable to not suitable based on climatic and terrain data and soil properties crop-wise. The assignment of a given area element (pixel) to any one suitability class is encountered with problems due to the variation of soil properties within the area as well as matching of the soil properties with more than one suitability class to different extents. The Boolean methods are designed to assign a pixel to a single class and no provision exists for assigning partial suitability to each of the appropriate suitability classes. In the present study the use of fuzzy (partial) membership classification is used to accommodate the above uncertainty in assigning the suitability classes to the pixel. The evaluation of the spatial variability of relevant terrain parameters is carried out in a geographic information system environment while assigning the land suitability for crops in the study area of Kalyanakere sub-watershed in Karnataka. Nine parameters (eight of soil and one of topography) are considered and suitability analysis is carried out by fuzzy membership classification with due weightage factors included to accommodate the relative importance of the soil parameters governing the crop productivity. According to the field information, the crop being grown in maximum area is finger millet. However, the crop-land evaluation results of the present study reveal that maximum area is potentially suitable for growing ground nut.</ce:simple-para></ce:abstract-sec></ce:abstract><ce:keywords class="keyword"><ce:section-title>Keywords</ce:section-title><ce:keyword><ce:text>Land evaluation</ce:text></ce:keyword><ce:keyword><ce:text>Suitability criteria</ce:text></ce:keyword><ce:keyword><ce:text>Classification</ce:text></ce:keyword><ce:keyword><ce:text>Fuzzy membership</ce:text></ce:keyword><ce:keyword><ce:text>GIS</ce:text></ce:keyword></ce:keywords></head></converted-article></istex:document></istex:metadataXml><mods version="3.6"><titleInfo><title>GIS-based fuzzy membership model for crop-land suitability analysis</title></titleInfo><titleInfo type="alternative" contentType="CDATA"><title>GIS-based fuzzy membership model for crop-land suitability analysis</title></titleInfo><name type="personal"><namePart type="given">T.R.</namePart><namePart type="family">Nisar Ahamed</namePart><affiliation>Department of Civil Engineering, Indian Institute of Technology, Powai, Mumbai 400 076, India</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">K.</namePart><namePart type="family">Gopal Rao</namePart><affiliation>Department of Civil Engineering, Indian Institute of Technology, Powai, Mumbai 400 076, India</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">J.S.R.</namePart><namePart type="family">Murthy</namePart><affiliation>Department of Civil Engineering, Indian Institute of Technology, Powai, Mumbai 400 076, India</affiliation><affiliation>E-mail: jsrmty@civil.iitb.ernet.in</affiliation><description>Corresponding author. Tel.: +91-22-578-2545; fax: +91-22-578-3480</description><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="research-article" displayLabel="Full-length article"></genre><originInfo><publisher>ELSEVIER</publisher><dateIssued encoding="w3cdtf">2000</dateIssued><dateModified encoding="w3cdtf">1999-05-16</dateModified><copyrightDate encoding="w3cdtf">2000</copyrightDate></originInfo><language><languageTerm type="code" authority="iso639-2b">eng</languageTerm><languageTerm type="code" authority="rfc3066">en</languageTerm></language><physicalDescription><internetMediaType>text/html</internetMediaType></physicalDescription><abstract lang="en">Crop-land suitability analysis is a prerequisite to achieve optimum utilisation of the available land resources for sustainable agricultural production. The Food and Agricultural Organisation [FAO, 1976. A framework for land evaluation (Soils Bulletin No. 32). FAO, Rome.] recommended an approach for land suitability evaluation for crops in terms of suitability ratings from highly suitable to not suitable based on climatic and terrain data and soil properties crop-wise. The assignment of a given area element (pixel) to any one suitability class is encountered with problems due to the variation of soil properties within the area as well as matching of the soil properties with more than one suitability class to different extents. The Boolean methods are designed to assign a pixel to a single class and no provision exists for assigning partial suitability to each of the appropriate suitability classes. In the present study the use of fuzzy (partial) membership classification is used to accommodate the above uncertainty in assigning the suitability classes to the pixel. The evaluation of the spatial variability of relevant terrain parameters is carried out in a geographic information system environment while assigning the land suitability for crops in the study area of Kalyanakere sub-watershed in Karnataka. Nine parameters (eight of soil and one of topography) are considered and suitability analysis is carried out by fuzzy membership classification with due weightage factors included to accommodate the relative importance of the soil parameters governing the crop productivity. According to the field information, the crop being grown in maximum area is finger millet. However, the crop-land evaluation results of the present study reveal that maximum area is potentially suitable for growing ground nut.</abstract><note type="content">Fig. 1: Location map of study area.</note><note type="content">Fig. 2: Contour map (5 m interval).</note><note type="content">Fig. 3: Digital Elevation Model of study area.</note><note type="content">Fig. 4: Fuzzy membership and GIS approach for land suitability analysis. DEM, Digital Elevation Model; CEC, cation exchange capacity; GIS, geographical information system.</note><note type="content">Fig. 5: Fuzzy membership approach — crop suitability class assignment.</note><note type="content">Fig. 6: Highest suitability class map for finger millet (a) without weights, (b) with weights and highest suitability cross-classification map (c) without and with weights. (d) Highest suitability class for finger millet. (e) Highest suitability cross-classification for finger millet.</note><note type="content">Fig. 7: Highest suitability class map for paddy (a) without weights, (b) with weights and highest suitability cross-classification map (c) without and with weights. (d) Highest suitability class for paddy. (e) Highest suitability cross-classification for paddy.</note><note type="content">Fig. 8: Highest suitability class map for ground nut (a) without weights, (b) with weights and highest suitability cross-classification map (c) without and with weights. (d) Highest suitability class for ground nut. (e) Highest suitability cross-classification for ground nut.</note><note type="content">Fig. 9: Highest suitability crop map (a) without weights, (b) with weights and highest suitability cross-classification map (c) without and with weights. (d) Highest suitability crop. (e) Highest suitability crop cross-classification.</note><note type="content">Table 1: Saaty's importance scale</note><note type="content">Table 2: Land suitability for (a) finger millet, (b) paddy and (c) ground nut — criteria and ratings</note><note type="content">Table 4: Representative matrix of suitability class and parameter values for (a) finger millet, (b) paddy and (c) ground nut</note><note type="content">Table 3: Important matrix for suitability of (a) finger millet, (b) paddy and (c) ground nut</note><subject><genre>Keywords</genre><topic>Land evaluation</topic><topic>Suitability criteria</topic><topic>Classification</topic><topic>Fuzzy membership</topic><topic>GIS</topic></subject><relatedItem type="host"><titleInfo><title>Agricultural Systems</title></titleInfo><titleInfo type="abbreviated"><title>AGSY</title></titleInfo><genre type="journal">journal</genre><originInfo><dateIssued encoding="w3cdtf">200002</dateIssued></originInfo><identifier type="ISSN">0308-521X</identifier><identifier type="PII">S0308-521X(00)X0059-5</identifier><part><date>200002</date><detail type="volume"><number>63</number><caption>vol.</caption></detail><detail type="issue"><number>2</number><caption>no.</caption></detail><extent unit="issue pages"><start>75</start><end>146</end></extent><extent unit="pages"><start>75</start><end>95</end></extent></part></relatedItem><identifier type="istex">996BE94CA1A71D6FC204D24F5198DFD2C9AE7B53</identifier><identifier type="DOI">10.1016/S0308-521X(99)00036-0</identifier><identifier type="PII">S0308-521X(99)00036-0</identifier><accessCondition type="use and reproduction" contentType="copyright">©2000 Elsevier Science Ltd</accessCondition><recordInfo><recordContentSource>ELSEVIER</recordContentSource><recordOrigin>Elsevier Science Ltd, ©2000</recordOrigin></recordInfo></mods></metadata><serie></serie></istex></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Wicri/Agronomie/explor/SisAgriV1/Data/Istex/Corpus
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 001004 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Istex/Corpus/biblio.hfd -nk 001004 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Wicri/Agronomie
|area= SisAgriV1
|flux= Istex
|étape= Corpus
|type= RBID
|clé= ISTEX:996BE94CA1A71D6FC204D24F5198DFD2C9AE7B53
|texte= GIS-based fuzzy membership model for crop-land suitability analysis
}}
| This area was generated with Dilib version V0.6.28. |  |