Système d'information stratégique et agriculture (serveur d'exploration)

Attention, ce site est en cours de développement !
Attention, site généré par des moyens informatiques à partir de corpus bruts.
Les informations ne sont donc pas validées.

GIS-based fuzzy membership model for crop-land suitability analysis

Identifieur interne : 001188 ( Main/Exploration ); précédent : 001187; suivant : 001189

GIS-based fuzzy membership model for crop-land suitability analysis

Auteurs : T. R. Nisar Ahamed [Inde] ; K. Gopal Rao [Inde] ; J. S. R. Murthy [Inde]

Source :

RBID : ISTEX:996BE94CA1A71D6FC204D24F5198DFD2C9AE7B53

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


Affiliations:


Links toward previous steps (curation, corpus...)


Le 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>
</author>
<author>
<name sortKey="Gopal Rao, K" sort="Gopal Rao, K" uniqKey="Gopal Rao K" first="K." last="Gopal Rao">K. Gopal Rao</name>
</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>
</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>
<idno type="wicri:Area/Istex/Curation">000F39</idno>
<idno type="wicri:Area/Istex/Checkpoint">000997</idno>
<idno type="wicri:explorRef" wicri:stream="Istex" wicri:step="Checkpoint">000997</idno>
<idno type="wicri:doubleKey">0308-521X:2000:Nisar Ahamed T:gis:based:fuzzy</idno>
<idno type="wicri:Area/Main/Merge">001200</idno>
<idno type="wicri:Area/Main/Curation">001188</idno>
<idno type="wicri:Area/Main/Exploration">001188</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 wicri:level="1">
<country xml:lang="fr">Inde</country>
<wicri:regionArea>Department of Civil Engineering, Indian Institute of Technology, Powai, Mumbai 400 076</wicri:regionArea>
<wicri:noRegion>Mumbai 400 076</wicri:noRegion>
</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 wicri:level="1">
<country xml:lang="fr">Inde</country>
<wicri:regionArea>Department of Civil Engineering, Indian Institute of Technology, Powai, Mumbai 400 076</wicri:regionArea>
<wicri:noRegion>Mumbai 400 076</wicri:noRegion>
</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 wicri:level="1">
<country xml:lang="fr">Inde</country>
<wicri:regionArea>Department of Civil Engineering, Indian Institute of Technology, Powai, Mumbai 400 076</wicri:regionArea>
<wicri:noRegion>Mumbai 400 076</wicri:noRegion>
</affiliation>
<affiliation wicri:level="1">
<country wicri:rule="url">Inde</country>
</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>
<affiliations>
<list>
<country>
<li>Inde</li>
</country>
</list>
<tree>
<country name="Inde">
<noRegion>
<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>
</noRegion>
<name sortKey="Gopal Rao, K" sort="Gopal Rao, K" uniqKey="Gopal Rao K" first="K." last="Gopal Rao">K. Gopal Rao</name>
<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>
<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>
</country>
</tree>
</affiliations>
</record>

Pour manipuler ce document sous Unix (Dilib)

EXPLOR_STEP=$WICRI_ROOT/Wicri/Agronomie/explor/SisAgriV1/Data/Main/Exploration
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 001188 | SxmlIndent | more

Ou

HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 001188 | SxmlIndent | more

Pour mettre un lien sur cette page dans le réseau Wicri

{{Explor lien
   |wiki=    Wicri/Agronomie
   |area=    SisAgriV1
   |flux=    Main
   |étape=   Exploration
   |type=    RBID
   |clé=     ISTEX:996BE94CA1A71D6FC204D24F5198DFD2C9AE7B53
   |texte=   GIS-based fuzzy membership model for crop-land suitability analysis
}}

Wicri

This area was generated with Dilib version V0.6.28.
Data generation: Wed Mar 29 00:06:34 2017. Site generation: Tue Mar 12 12:44:16 2024