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.
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References
Agriculture census division, co-operation &. Department of agriculture, farmers welfare, ministry of agriculture & farmers welfare, and government of India (2021) Agricultural census 2015–2016
Ahmed GB, Shariff ARM, Balasundram SK, Fikri Bin, Abdullah A (2016) Agriculture land suitability analysis evaluation based multi criteria and GIS approach IOP Conference Series. Earth Environm Sci 37(1): 012044. https://doi.org/10.1088/1755-1315/37/1/012044
Arulbalaji P, Padmalal D, Sreelash K (2019) GIS and AHP Techniques Based Delineation of Groundwater Potential Zones: a case study from Southern Western Ghats, India. Scientific Rep 9(1):1–17. https://doi.org/10.1038/s41598-019-38567-x
Ayoade MA (2016) Suitability assessment and mapping of Oyo State, Nigeria, for rice cultivation using GIS. Theor Appl Climatol 129(3):1341–1354. https://doi.org/10.1007/S00704-016-1852-4
Balasubramani K (2020) Assessment of watershed resources for sustainable agricultural development: A of developing an operational methodology under Indian conditions through geospatial technologies. Int Arch Photogrammetry, Remote Sensing and Spatial Information Sciences-ISPRS Archives, 42(3/W11): 9–13. https://doi.org/10.5194/ISPRS-ARCHIVES-XLII-3-W11-9-2020
Bandyopadhyay S, Kar NS, Das S, Sen J (2014) River systems and water resources of West Bengal: a review. Geol Soc India Spec Publ 3(2014):63–84. https://doi.org/10.1016/j.geomorph.2015.02.037
Barnston AG (1992) Correspondence among the correlation, RMSE, and Meidke Forecast verification measures; Refinement of the Neidke Score. In Weather and Forecasting (Vol. 7, Issue 4, pp. 699–709). https://doi.org/10.1175/1520-0434(1992)007%3C0699:CATCRA%3E2.0.CO;2
Baskar S, Kumar G (2019) Land suitability assessment using remote sensing and geographical information system in Mannargudi block, South India. Int J Sci Technol Res 8(11):1128–1132
Belka K (2005) Multicriteria analysis and GIS application in the selection of sustainable motorway corridor. https://doi.org/10.13140/2.1.4376.0322
Bengal G W (2016) District wise Estimates of Yield Rate and Production of Nineteen Major Crops of West Bengal during 2014–15. Bureau Appl Econ Statistics 1–243
Bhagat RM, Singh S, Sood C, Rana RS, Kalia V, Pradhan S, Immerzeel W, Shrestha B (2009) Land suitability analysis for cereal production in Himachal Pradesh (India) using Geographical Information System. J Indian Soc Remote Sensing 37(2):233–240. https://doi.org/10.1007/S12524-009-0018-6
Bhuvan (2022). https://bhuvan-app1.nrsc.gov.in/thematic/thematic/index.php. Accessed 11 Mar 2022
Biswas S, Mukhopadhyay BP, Bera A (2020) Delineating groundwater potential zones of agriculture dominated landscapes using GIS based AHP techniques: a case study from Uttar Dinajpur district, West Bengal. Environ Earth Sci 79(12):1–25. https://doi.org/10.1007/S12665-020-09053-9
Bozdağ A, Yavuz F, Günay AS (2016) AHP and GIS based land suitability analysis for Cihanbeyli (Turkey) County. Environ Earth Sci 75(9):1–15. https://doi.org/10.1007/S12665-016-5558-9
Chen FW, Liu CW (2012) Estimation of the spatial rainfall distribution using inverse distance weighting (IDW) in the middle of Taiwan. Paddy Water Environ 10(3):209–222. https://doi.org/10.1007/s10333-012-0319-1
Dadhich G, Patel PR, Kalubarme MH (2017) Agriculture land suitability evaluation for wheat cultivation using geomatics for Patan District, India. Int J Agric Resour Gov Ecol 13(1):91–108. https://doi.org/10.1504/IJARGE.2017.084038
Das N, Mukhopadhyay S (2018) Application of multi-criteria decision-making technique for the assessment of groundwater potential zones: a study on Birbhum district, West Bengal, India. Environ Dev Sustainability 22(2):931–955. https://doi.org/10.1007/S10668-018-0227-7
FAO (2022). https://www.fao.org/faostat/en/#home. Accessed 11 Mar 2022
Ghosh A, Kar SK (2018) Application of analytical hierarchy process (AHP) for flood risk assessment: a case study in Maldah district of West Bengal, India. Natl Hazards 94(1):349–368. https://doi.org/10.1007/S11069-018-3392-Y
Halder S, Das S, Basu S (2022) Estimation of seasonal water yield using InVEST model: a case study from West Bengal, India. Arabian J Geosci 15(14):1–18. https://doi.org/10.1007/s12517-022-10551-2
Hazarika R, Saikia A (2020) Landfill site suitability analysis using AHP for solid waste management in the Guwahati Metropolitan Area, India. Arabian J Geosci 13(21):1–14. https://doi.org/10.1007/S12517-020-06156-2
ICAR (2010) Degraded and wastelands of India status and spatial distribution. New Delhi
Islam MM, Ahamed T, Noguchi R (2018) Land suitability and insurance premiums: A GIS-based multicriteria analysis approach for sustainable rice production. Sustainability 10(6):1759. https://doi.org/10.3390/su10061759
Kayastha P, Dhital MR, De Smedt F (2013) Application of the analytical hierarchy process (AHP) for landslide susceptibility mapping: A case study from the Tinau watershed, west Nepal. Comput Geosci 52:398–408. https://doi.org/10.1016/J.CAGEO.2012.11.003
Kazemi H, Akinci H (2018) A land use suitability model for rainfed farming by Multi-criteria Decision-making Analysis (MCDA) and Geographic Information System (GIS). Ecol Eng 116:1–6. https://doi.org/10.1016/J.ECOLENG.2018.02.021
Kumar S, Hassan MI (2012) Selection of a landfill site for solid waste management: an application of AHP and spatial analyst tool. J Indian Soc Remote Sensing 41(1):45–56. https://doi.org/10.1007/S12524-011-0161-8
Kumar R, Patel GR (2020) Assessment of agro-land suitability for rice (Oryza sativa L.) in Bhal area of Gujarat using GIS and remote sensing. Int J Curr Microbiol Appl Sci 9(4):1207–1214. https://doi.org/10.20546/ijcmas.2020.904.143
Malczewski J (2006) GIS-based multicriteria decision analysis: a survey of the literature. Int J Geog Inform Sci 20(7):703–726. https://doi.org/10.1080/13658810600661508
Memarbashi E, Azadi H, Barati AA, Mohajeri F, Passel S (2017) Land-use suitability in Northeast Iran: Application of AHP-GIS Hybrid Model. ISPRS Int J Geo-Inform 6(12):396. https://doi.org/10.3390/IJGI6120396
Mustafa AA, Man S, Sahoo RN, Nayan A, Manoj K, Sarangi A et al (2011) Land suitability analysis for different crops. A multi criteria decision making approach using remote sensing and GIS
Nasim Aktar (2015) Agricultural Productivity and Productivity Regions in West Bengal. The NEHU J XIII (Vol XII, July-December 2015), 49–61
NisarAhamed TR, Gopal Rao K, Murthy JSR (2000) GIS-based fuzzy membership model for crop-land suitability analysis. Agric Syst 63(2):75–95. https://doi.org/10.1016/S0308-521X(99)00036-0
Pan G, Pan J (2011) Research in crop land suitability analysis based on GIS. IFIP Adv Inform Commun Technol 369 (PART 2): 314–325. https://doi.org/10.1007/978-3-642-27278-3_33
Parihari S, Das K, Das Chatterjee N (2021) Land suitability assessment for effective agricultural practices in Paschim Midnapore and Jhargram districts, West Bengal, India. Mod Cartogr Ser 10:285–311. https://doi.org/10.1016/B978-0-12-823895-0.00034-8
Pourghasemi HR, Pradhan B, Gokceoglu C (2012) Application of fuzzy logic and analytical hierarchy process (AHP) to landslide susceptibility mapping at Haraz watershed, Iran. Natl Hazards 63(2):965–996. https://doi.org/10.1007/S11069-012-0217-2
Praveen B, Talukdar S, Shahfahad A, Mahato S, Mondal J, Sharma P, Islam ARMT, Rahman A (2020) Analyzing trend and forecasting of rainfall changes in India using non-parametrical and machine learning approaches. Scientific Rep 10(1):1–21. https://doi.org/10.1038/s41598-020-67228-7
Rahman R, Saha SK (2010) Remote sensing, spatial multi criteria evaluation (SMCE) and analytical hierarchy process (AHP) in optimal cropping pattern planning for a flood prone area. J Spatial Sci 53(2):161–177. https://doi.org/10.1080/14498596.2008.9635156
Ravikumar D, Govindaraju. (2020) Digital land resource inventory for sustainable agriculture-a case study in koranahalli subwatershed. Plant Arch 20(1):713–720
Reshmidevi TV, Eldho TI, Jana R (2009) A GIS-integrated fuzzy rule-based inference system for land suitability evaluation in agricultural watersheds. Agric Syst 101(1–2):101–109. https://doi.org/10.1016/J.AGSY.2009.04.001
Rukhsana & Molla SH (2021) Investigating the suitability for rice cultivation using multi-criteria land evaluation in the Sundarban Region of South 24 Parganas District, West Bengal, India. J Indian Soc Remote Sensing https://doi.org/10.1007/S12524-021-01441-3/TABLES/8
Saaty T (1980) The analytical hierarchy process, planning, priority, Resource Allocation. McGraw-Hill International Book Company, 287. https://books.google.com/books/about/The_Analytic_Hierarchy_Process.html?id=Xxi7AAAAIAAJ
Saaty RW (1987) The analytic hierarchy process—what it is and how it is used. Mathemat Modell 9(3–5):161–176. https://doi.org/10.1016/0270-0255(87)90473-8
Samanta S, Pal B, Pal DK (2011) Land suitability analysis for rice cultivation based on multi-criteria decision approach through GIS. Int J Sci Emerg Technol 1:12–20
Santra A, Santra Mitra S (2016) Multi criteria decision analysis for assessing crop suitability in drought prone puruliya District, West Bengal, India Forest Vegetation Parameter Retrieval View project Crop Suitability and Potential Soil Erosion Assessment in the Drought Prone Puruliya District of West Bengal View project Multi Criteria Decision Analysis for Assessing Crop Suitability in Drought Prone Puruliya District, West Bengal, India. J Environm 5(1), 7–12. www.scientific-journals.co.uk
Sarkar B, Das P, Islam N, Basak A, Debnath M (2021) Roy R (2021) Land suitability analysis for paddy crop using GIS-based Fuzzy-AHP (F-AHP) method in Koch Bihar district, West Bengal. Geocarto Int. https://doi.org/10.1080/10106049.2021.2007299
Schneider A, Hommel G, Blettner M (2010) Medicine linear regression analysis part 14 of a series on evaluation of scientific publications. Dtsch Arztebl Int 107(44):776–782. https://doi.org/10.3238/arztebl.2010.0776
Şener Ş, Sener E, Karagüzel R (2010) Solid waste disposal site selection with GIS and AHP methodology: a case study in Senirkent-Uluborlu (Isparta) Basin, Turkey. Environm Monitor Assessm 173(1):533–554. https://doi.org/10.1007/S10661-010-1403-X
Swain KC, Singha C, Nayak L (2020) Flood susceptibility mapping through the GIS-AHP technique using the cloud. ISPRS Int J Geo-Inform. https://doi.org/10.3390/IJGI9120720
Transport Department, Government of West Bengal. https://transport.wb.gov.in/. (Accessed Last on March 11, 2022)
WRIS-INDIA (2022) https://indiawris.gov.in/wris/#/ (Accessed last on March 11, 2022)
Yalew SG, van Griensven A, Mul ML, van der Zaag P (2016) Land suitability analysis for agriculture in the Abbay basin using remote sensing, GIS and AHP techniques. Model Earth Syst Environ 2(2):1–14. https://doi.org/10.1007/S40808-016-0167-X/TABLES/9
Yusianto R, Marimin Suprihatin, Hardjomidjojo H (2020) Spatial analysis for crop land suitability evaluation: A case study of potatoes cultivation in wonosobo, Indonesia. International Seminar on Application for Technology of Information and Communication: IT Challenges for Sustainability, Scalability, and Security in the Age of Digital Disruption, ISemantic https://doi.org/10.1109/ISEMANTIC50169.2020.9234284
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The authors are thankful to USGS Earth Explorer, Food and Agriculture Organization of the United Nations, Indian Meteorological Department, Bhuvan for providing data.
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Bose, S., Halder, S. Identification of crop suitable land using geospatial techniques and assessment with socio-economic factors—case study from India. Asia-Pac J Reg Sci 7, 229–253 (2023). https://doi.org/10.1007/s41685-023-00274-x
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DOI: https://doi.org/10.1007/s41685-023-00274-x