Geoinformational Overview of Soil-Profile Analysis and Agro-Industrial Perspective of the Purulia–Bankura Sector, West Bengal

The present study examines the spatial variation of soil profile characteristics and their implications for agricultural and agro-industrial potential in the Purulia–Bankura region using Geographical Information System (GIS) techniques. The scope of the research includes the integration of soil texture, nutrient status, organic matter, and land capability data with spatial layers to identify productivity and suitability zones. GIS-based analysis reveals marked spatial heterogeneity in soil properties, significantly influencing crop productivity and land-use potential (FAO, 2006; Burrough & McDonnell, 2015). The findings indicate that areas with favourable soil depth, moderate texture, and higher organic content correspond to higher agricultural output and better agro-industrial suitability (Brady & Weil, 2017; USDA, 2014). The study further demonstrates that GIS-supported soil evaluation improves decision-making accuracy over conventional methods (Longley et al., 2015). Recommendations for further research include the incorporation of temporal soil moisture data, climate variables, and remote sensing-based crop yield models to enhance predictive precision and sustainable regional planning (Mandal et al., 2018).

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-12-25
DOI
https://doi.org/10.5281/zenodo.18053004
Primary Topic
Soil and Land Suitability Analysis
Type
article
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article

Geoinformational Overview of Soil-Profile Analysis and Agro-Industrial Perspective of the Purulia–Bankura Sector, West Bengal

Madhumita Chattopadhyay, Suparna Biswas Shil, Dr. Bipul Chakraborty
Zenodo (CERN European Organization for Nuclear Research)
Soil and Land Suitability Analysis
article

Geoinformational Overview of Soil-Profile Analysis and Agro-Industrial Perspective of the Purulia–Bankura Sector, West Bengal

Madhumita Chattopadhyay, Suparna Biswas Shil, Dr. Bipul Chakraborty
article en

Abstract

The present study examines the spatial variation of soil profile characteristics and their implications for agricultural and agro-industrial potential in the Purulia–Bankura region using Geographical Information System (GIS) techniques. The scope of the research includes the integration of soil texture, nutrient status, organic matter, and land capability data with spatial layers to identify productivity and suitability zones. GIS-based analysis reveals marked spatial heterogeneity in soil properties, significantly influencing crop productivity and land-use potential (FAO, 2006; Burrough & McDonnell, 2015). The findings indicate that areas with favourable soil depth, moderate texture, and higher organic content correspond to higher agricultural output and better agro-industrial suitability (Brady & Weil, 2017; USDA, 2014). The study further demonstrates that GIS-supported soil evaluation improves decision-making accuracy over conventional methods (Longley et al., 2015). Recommendations for further research include the incorporation of temporal soil moisture data, climate variables, and remote sensing-based crop yield models to enhance predictive precision and sustainable regional planning (Mandal et al., 2018).

Zenodo (CERN European Organization for Nuclear Research)
Zero hunger
Openalex Percentile: Top 27%
Soil and Land Suitability Analysis
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Geoinformational Overview of Soil-Profile Analysis and Agro-Industrial Perspective of the Purulia–Bankura Sector, West Bengal — Madhumita Chattopadhyay, Suparna Biswas Shil, et al. · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS