The Influence of Landforms and Slope on Agricultural Cropping Patterns in Chhatrapati Sambhajinagar District

This study investigates the significant impact of landforms and slope on agricultural cropping patterns in Chhatrapati Sambhajinagar District, Maharashtra. Employing a mixed-methods approach, combining geospatial analysis and field observations, the research reveals a strong correlation between the district’s diverse topography and its agricultural productivity. The fertile, flat plains of the Godavari basin, supported by robust irrigation systems, are predominantly utilized for water-intensive crops such as sugarcane and cotton. In contrast, the hilly and undulating terrains in the northern and western regions, characterized by steeper slopes and thinner soils, are better suited for drought-resistant crops like bajra and various pulses. The findings underscore the critical role of geomorphological factors in shaping agricultural practices and highlight the need for tailored, sustainable strategies that align with the local landscape. By integrating these insights, the study advocates for enhanced agricultural planning to ensure long-term food security and environmental sustainability in the region.

Landforms; Slope; Cropping Patterns; Geospatial Analysis; Agricultural Practices; Sustainable Agriculture; Deccan Plateau

1. District Census Handbook, Aurangabad (Chh.Sambhajinagar). (2011). Directorate of Census Operations, Maharashtra. [Google Scholar] [Crossref]

2. Government of Maharashtra. (2020). Agriculture Profile of Aurangabad District. [Google Scholar] [Crossref]

3. Department of Agriculture. [Google Scholar] [Crossref]

4. Indian Council of Agricultural Research (ICAR). (2019). Soils of Maharashtra: Characterization and Classification. [Google Scholar] [Crossref]

5. Kumar, S. & Singh, R. (2018). "Geographical Factors Influencing Cropping Patterns in the Deccan Plateau." Journal of Environmental Studies and Policy, 5(2), 45-62. [Google Scholar] [Crossref]

6. Prasad, N. & Sharma, A. (2017). "Impact of Slope on Soil Erosion and Land Degradation: A Case Study of Central India." Applied Geography, 39, 112-125. [Google Scholar] [Crossref]

7. Singh, R. P., et al. (2018). "Geographical factors influencing cropping patterns in the Deccan Plateau." Journal of Environmental Studies and Policy, 5(2), 45-62. [Google Scholar] [Crossref]

8. Google Earth Engine. (2025). Satellite Imagery and Geospatial Data. [Google Scholar] [Crossref]

9. Patil S. B. (2008). “Geomorphology and Settlement in dhule district (m.s.) [Google Scholar] [Crossref]

10. Unpublished Ph.D thesis submitted to North Maharashtra University, Jalgaon. [Google Scholar] [Crossref]

11. Pramod Pathrikar (2024) "Revealing Fracture Flow Dynamics in Basaltic Aquifers: Insights into Underground Water Movement" [Google Scholar] [Crossref]

12. Pramod Pathrikar (2025) "Through The Cracks: Unveiling Fracture Flow Patterns In Basaltic Groundwater Systems" [Google Scholar] [Crossref]

13. Cannon, T. (2008). Reducing people’s vulnerability to natural hazards: Communities and resilience. Natural Hazards, 46(3), 255-264. [Google Scholar] [Crossref]

14. Blaikie, P., Cannon, T., Davis, I., & Wisner, B. (2014). At Risk: Natural Hazards, People's Vulnerability, and Disasters. Routledge. [Google Scholar] [Crossref]

15. Gaillard, J. C., & Mercer, J. (2013). From knowledge to action: Bridging gaps in disaster risk reduction. Progress in Human Geography, 37(1), 93-114. [Google Scholar] [Crossref]

16. Pelling, M. (2011). Adaptation to Climate Change: From Resilience to Transformation. Routledge. [Google Scholar] [Crossref]

17. Government of Maharashtra. (2020). Maharashtra State Disaster Management Plan. Retrieved from [official website]. [Google Scholar] [Crossref]

18. Kelman, I. (2015). Climate change and the Sendai Framework for Disaster Risk Reduction. International Journal of Disaster Risk Science, 6(2), 117-127. [Google Scholar] [Crossref]

19. IPCC. (2022). Climate change impacts and adaptation. Intergovernmental Panel on Climate Change Report. Retrieved from [official website]. [Google Scholar] [Crossref]

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