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<p>As the population grows, food demand rises, requiring efficient use of agricultural land to boost productivity. This study aimed to identify suitable areas for wheat and lentil cultivation during the <i>Rabi</i> season to improve the cropping intensity through mixed cropping. The research employed multiple climatic and soil parameters to address these challenges using multi-criteria decision-making (MCDM) for land suitability analysis. Initially, the analytical hierarchy process (AHP) technique assigned different weights to the parameters based on their relevance to wheat and lentil crops. Finally, the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) approach is applied to identify the suitable zones for cultivating both wheat and lentils. This analysis revealed that 3.79% and 3.86% of the total study area are highly suitable for wheat and lentil cultivation, respectively. About 0.96% of the area is highly suitable for both crops. The sensitivity analyses revealed that assigning equal weights to all the criteria does not significantly change the outcomes. However, increasing the weight of the soil parameter by 20%, and subsequently adjusting others, showed an increase in the marginally suitable area and a decrease in the moderately suitable area by about 3–4%. The validation with the acreage data showed a positive correlation between high suitability areas and actual acreage for wheat (<i>R&#xa0;</i>= 0.74) and for lentils (<i>R</i> = 0.51). By addressing the agricultural challenges and optimizing land use, the study offers a strategic pathway to meet the growing food demand and enhance the sustainability of the agriculture sector.</p>

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Optimizing Cropping Intensity Through an Integrated MCDM Framework: a Step Toward Sustainable Agriculture

  • 期刊论文

  • 发表日期：

    2025年8月21日

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  • Swadhina Koley,
  • Jeganathan Chockalingam

摘要

As the population grows, food demand rises, requiring efficient use of agricultural land to boost productivity. This study aimed to identify suitable areas for wheat and lentil cultivation during the Rabi season to improve the cropping intensity through mixed cropping. The research employed multiple climatic and soil parameters to address these challenges using multi-criteria decision-making (MCDM) for land suitability analysis. Initially, the analytical hierarchy process (AHP) technique assigned different weights to the parameters based on their relevance to wheat and lentil crops. Finally, the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) approach is applied to identify the suitable zones for cultivating both wheat and lentils. This analysis revealed that 3.79% and 3.86% of the total study area are highly suitable for wheat and lentil cultivation, respectively. About 0.96% of the area is highly suitable for both crops. The sensitivity analyses revealed that assigning equal weights to all the criteria does not significantly change the outcomes. However, increasing the weight of the soil parameter by 20%, and subsequently adjusting others, showed an increase in the marginally suitable area and a decrease in the moderately suitable area by about 3–4%. The validation with the acreage data showed a positive correlation between high suitability areas and actual acreage for wheat (R = 0.74) and for lentils (R = 0.51). By addressing the agricultural challenges and optimizing land use, the study offers a strategic pathway to meet the growing food demand and enhance the sustainability of the agriculture sector.