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Identification of crop suitable land using geospatial techniques and assessment with socio-economic factors—case study from India

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  • Suddhasil Bose

    (Jadavpur University)

  • Subhra Halder

    (Jadavpur University)

Abstract

Crop suitability analyses produce optimal utilisation of existing land resources for sustainable agricultural productivity. This study identified suitable locations for the main crops of West Bengal, India; rice, maize, oilseeds, pulses, wheat, barley, potatoes and vegetables using Analytical Hierarchy Process (AHP) and Geographical Information Systems (GIS). AHP is a multi-decision-criteria approach that requires parameters regarding the crop suitability analysis. Ideal parameters such as slope, elevation, rainfall, soil, land use and land cover (LULC), net sown area, river and road networks, have been selected for the specific study areas. We determined that approximately 55% of lands are under very high to moderate crop suitable zones and some districts in the north and central areas have the maximum amount of highly suitable land as compared to the other districts. The western area showed low suitability due to undulating terrain, rainfall deficiency and infertile soil. The resultant suitability data justified with secondary datasets using the Root Mean Square Error (RMSE) method showed an 11% error. Our results also correlated the socio-economic factors, agricultural productivity and agricultural labourer, with the crop suitability zones showing a positive relationship of approximately 82% and 72%, respectively. Suitability maps of the study area and their correlations with allied agricultural factors can help decision makers and planners find appropriate zones for crop production.

Suggested Citation

  • Suddhasil Bose & Subhra Halder, 2023. "Identification of crop suitable land using geospatial techniques and assessment with socio-economic factors—case study from India," Asia-Pacific Journal of Regional Science, Springer, vol. 7(1), pages 229-253, March.
    • Handle: RePEc:spr:apjors:v:7:y:2023:i:1:d:10.1007_s41685-023-00274-x
    DOI: 10.1007/s41685-023-00274-x
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    References listed on IDEAS

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    1. Abhishek Ghosh & Shyamal Kumar Kar, 2018. "Correction to: Application of analytical hierarchy process (AHP) for flood risk assessment: a case study in Malda district of West Bengal, India," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 94(1), pages 369-369, October.
    2. Abhishek Ghosh & Shyamal Kumar Kar, 2018. "Application of analytical hierarchy process (AHP) for flood risk assessment: a case study in Malda district of West Bengal, India," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 94(1), pages 349-368, October.
    3. Thomas L. Saaty, 1987. "Risk—Its Priority and Probability: The Analytic Hierarchy Process," Risk Analysis, John Wiley & Sons, vol. 7(2), pages 159-172, June.
    4. Md Monjurul Islam & Tofael Ahamed & Ryozo Noguchi, 2018. "Land Suitability and Insurance Premiums: A GIS-based Multicriteria Analysis Approach for Sustainable Rice Production," Sustainability, MDPI, vol. 10(6), pages 1-28, May.
    5. Hamid Pourghasemi & Biswajeet Pradhan & Candan Gokceoglu, 2012. "Application of fuzzy logic and analytical hierarchy process (AHP) to landslide susceptibility mapping at Haraz watershed, Iran," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 63(2), pages 965-996, September.
    6. Reshmidevi, T.V. & Eldho, T.I. & Jana, R., 2009. "A GIS-integrated fuzzy rule-based inference system for land suitability evaluation in agricultural watersheds," Agricultural Systems, Elsevier, vol. 101(1-2), pages 101-109, June.
    7. Nisar Ahamed, T. R. & Gopal Rao, K. & Murthy, J. S. R., 2000. "GIS-based fuzzy membership model for crop-land suitability analysis," Agricultural Systems, Elsevier, vol. 63(2), pages 75-95, February.
    8. Gautam Dadhich & Parul R. Patel & Manik H. Kalubarme, 2017. "Agriculture land suitability evaluation for wheat cultivation using geomatics for Patan District, India," International Journal of Agricultural Resources, Governance and Ecology, Inderscience Enterprises Ltd, vol. 13(1), pages 91-108.
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