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Crop-Suitability Analysis Using the Analytic Hierarchy Process and Geospatial Techniques for Cereal Production in North India

Author

Listed:
  • Shaloo

    (ICAR-Indian Agricultural Research Institute, New Delhi 110012, India)

  • Rishi Pal Singh

    (Department of Computer Science and Engineering, Guru Jambheshwar University of Science & Technology, Hisar 125001, India)

  • Himani Bisht

    (ICAR-Indian Agricultural Research Institute, New Delhi 110012, India)

  • Rajni Jain

    (ICAR-National Institute of Agricultural Economics and Policy Research, New Delhi 110012, India)

  • Truptimayee Suna

    (ICAR-Indian Agricultural Research Institute, New Delhi 110012, India)

  • Ram Swaroop Bana

    (ICAR-Indian Agricultural Research Institute, New Delhi 110012, India)

  • Samarth Godara

    (ICAR-Indian Agricultural Statistics Research Institute, New Delhi 110012, India)

  • Yashbir Singh Shivay

    (ICAR-Indian Agricultural Research Institute, New Delhi 110012, India)

  • Nirupma Singh

    (ICAR-Indian Agricultural Research Institute, New Delhi 110012, India)

  • Jatin Bedi

    (Thapar Institute of Engineering and Technology, Patiala 147004, India)

  • Shbana Begam

    (ICAR-National Institute of Plant Biotechnology, New Delhi 110012, India)

  • Manisha Tamta

    (ICAR-Research Complex for Eastern Region, Patna 800014, India)

  • Shweta Gautam

    (School of Forestry and Environment Science, Sam Higginbottom University of Agriculture, Technology & Sciences, Allahabad 211003, India)

Abstract

Identification of cropland suitability is obligatory to adapting to the increased food needs driven by population expansion, environmental contamination, and climate change. Given this, the present study was conducted to assess cereal crops’ suitability in India’s Haryana state by integrating Analytic Hierarchy Process (AHP) and geographic information system (GIS) technique. Multiple factors were considered for this study, such as rainfall, temperature, soil texture, drainage density, pH, organic carbon, electrical conductivity, and slope. The AHP technique was utilized to decide the weights of each individual parameter using experts’ opinions. The crop-suitability model was developed using the model builder module in ArcGIS 10.8, and each input parameter was reclassified as per the optimum crop-growth requirement and overlaid utilizing the reclassify tool and weighted overlay analysis. The crop suitability classes were estimated as highly suitable, S1 (6%); moderately suitable, S2 (71%); and marginally suitable, S3 (23%) for the calculated arable land for the wheat crop. Similarly, the crop suitability class of rice S2 (28%); S3 (72%), for sorghum S1 (28%); S2 (71%); S3 (1%), for maize S2 (85%); S3 (15%) and for pearl millet S1 (60%); S2 (40%) were also estimated. The study has observed that, as per the soil physico-chemical characteristics and climate, the area is moderately fertile. Therefore, agricultural production can be improved by cultivating the crop in highly and moderately suitable zones. Diversification of marginally suitable regions for crops other than that for which it is not suitable can be taken up, which will also ensure the income security of marginal farmers.

Suggested Citation

  • Shaloo & Rishi Pal Singh & Himani Bisht & Rajni Jain & Truptimayee Suna & Ram Swaroop Bana & Samarth Godara & Yashbir Singh Shivay & Nirupma Singh & Jatin Bedi & Shbana Begam & Manisha Tamta & Shweta , 2022. "Crop-Suitability Analysis Using the Analytic Hierarchy Process and Geospatial Techniques for Cereal Production in North India," Sustainability, MDPI, vol. 14(9), pages 1-21, April.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:9:p:5246-:d:802974
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    References listed on IDEAS

    as
    1. Rujee Rodcha & Nitin K. Tripathi & Rajendra Prasad Shrestha, 2019. "Comparison of Cash Crop Suitability Assessment Using Parametric, AHP, and FAHP Methods," Land, MDPI, vol. 8(5), pages 1-22, May.
    2. 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.
    3. D. M. Thapa & C.P. Shrivastav & S.C. Shah & K. Sah, 2020. "Land Suitability Evaluation Using Gis For Vegetable Crops At Sharadanagar, Chitwan, Nepal," Tropical Agrobiodiversity (TRAB), Zibeline International Publishing, vol. 1(1), pages 42-46, September.
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