Cropland suitability assessment using multi criteria evaluation techniques and geo-spatial technology: A review

Cropland suitability assessment is an essential technique for agricultural development and future planning. It is an evaluation to determine how suitable the land is for growing a specific crop in a particular region based on multiple parameters like soil, climate, topography, socio-economic condit...

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Main Authors: SHALOO, HIMANI BISHT, RAJNI JAIN, RISHI PAL SINGH
Format: Article
Language:English
Published: Indian Council of Agricultural Research 2022-06-01
Series:The Indian Journal of Agricultural Sciences
Subjects:
Online Access:https://epubs.icar.org.in/index.php/IJAgS/article/view/124622
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author SHALOO
HIMANI BISHT
RAJNI JAIN
RISHI PAL SINGH
author_facet SHALOO
HIMANI BISHT
RAJNI JAIN
RISHI PAL SINGH
author_sort SHALOO
collection DOAJ
description Cropland suitability assessment is an essential technique for agricultural development and future planning. It is an evaluation to determine how suitable the land is for growing a specific crop in a particular region based on multiple parameters like soil, climate, topography, socio-economic condition, infrastructure, irrigation, existing land use/land cover and environmental aspects. The paper presents different multi-criteria evaluation (MCE) techniques such as Analytical Hierarchy Process (AHP), Fuzzy Analytical Hierarchy Process (FAHP), Analytic Network Process (ANP), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and ELimination Et Choice Translating REality (ELECTRE) approaches integrated with geospatial technology, namely remote sensing and Geographical Information System for cropland suitability assessment. Review findings indicate that the AHP technique was used by 53% of the researchers, followed by FAHP (16%); ANP (6%); TOPSIS (6%); ELECTRE (3%) and other techniques (16%) with or without geospatial technology. The integrated approach of MCE with geospatial was used by 69%, among which AHP technique of MCE was used by 72%; whereas, 22% used geospatial and 9% used MCE techniques alone. The results from the selected research articles also indicated that the most important input parameters were soil, topography and climate used by 97%, 88% and 74% of the researchers, respectively. The review can be helpful for researchers and decision-makers to select the most robust methods and standard parameters required for cropland suitability assessment to achieve higher agricultural production on a sustained basis. 
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spelling doaj.art-45aab46c92fd4b769f232e92fe540bd82023-02-08T11:09:31ZengIndian Council of Agricultural ResearchThe Indian Journal of Agricultural Sciences0019-50222394-33192022-06-0192510.56093/ijas.v92i5.124622Cropland suitability assessment using multi criteria evaluation techniques and geo-spatial technology: A reviewSHALOO0HIMANI BISHT1RAJNI JAIN2RISHI PAL SINGH3ICAR-Indian Agricultural Research Institute, New Delhi 110 012, IndiaICAR-Indian Agricultural Research Institute, New Delhi 110 012, IndiaICAR-Indian Agricultural Research Institute, New Delhi 110 012, IndiaICAR-Indian Agricultural Research Institute, New Delhi 110 012, India Cropland suitability assessment is an essential technique for agricultural development and future planning. It is an evaluation to determine how suitable the land is for growing a specific crop in a particular region based on multiple parameters like soil, climate, topography, socio-economic condition, infrastructure, irrigation, existing land use/land cover and environmental aspects. The paper presents different multi-criteria evaluation (MCE) techniques such as Analytical Hierarchy Process (AHP), Fuzzy Analytical Hierarchy Process (FAHP), Analytic Network Process (ANP), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and ELimination Et Choice Translating REality (ELECTRE) approaches integrated with geospatial technology, namely remote sensing and Geographical Information System for cropland suitability assessment. Review findings indicate that the AHP technique was used by 53% of the researchers, followed by FAHP (16%); ANP (6%); TOPSIS (6%); ELECTRE (3%) and other techniques (16%) with or without geospatial technology. The integrated approach of MCE with geospatial was used by 69%, among which AHP technique of MCE was used by 72%; whereas, 22% used geospatial and 9% used MCE techniques alone. The results from the selected research articles also indicated that the most important input parameters were soil, topography and climate used by 97%, 88% and 74% of the researchers, respectively. The review can be helpful for researchers and decision-makers to select the most robust methods and standard parameters required for cropland suitability assessment to achieve higher agricultural production on a sustained basis.  https://epubs.icar.org.in/index.php/IJAgS/article/view/124622Cropland suitability, Geographical Information System, Multi-criteria evaluation, Remote sensing
spellingShingle SHALOO
HIMANI BISHT
RAJNI JAIN
RISHI PAL SINGH
Cropland suitability assessment using multi criteria evaluation techniques and geo-spatial technology: A review
The Indian Journal of Agricultural Sciences
Cropland suitability, Geographical Information System, Multi-criteria evaluation, Remote sensing
title Cropland suitability assessment using multi criteria evaluation techniques and geo-spatial technology: A review
title_full Cropland suitability assessment using multi criteria evaluation techniques and geo-spatial technology: A review
title_fullStr Cropland suitability assessment using multi criteria evaluation techniques and geo-spatial technology: A review
title_full_unstemmed Cropland suitability assessment using multi criteria evaluation techniques and geo-spatial technology: A review
title_short Cropland suitability assessment using multi criteria evaluation techniques and geo-spatial technology: A review
title_sort cropland suitability assessment using multi criteria evaluation techniques and geo spatial technology a review
topic Cropland suitability, Geographical Information System, Multi-criteria evaluation, Remote sensing
url https://epubs.icar.org.in/index.php/IJAgS/article/view/124622
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