Glad to share our latest Springer publication focused on sustainable maize cultivation using advanced GIS, Remote Sensing, and Analytical Hierarchy Process (AHP)-based Multi-Criteria Evaluation techniques. This study was carried out in the Gajapati district of Odisha, India, to identify the most suitable areas for Kharif maize cultivation by integrating climatic, soil, and topographic parameters.
The research utilized satellite-derived datasets, soil nutrient information, rainfall, temperature, slope, soil texture, pH, organic carbon, and water holding capacity to generate a comprehensive land suitability map. The findings revealed that nearly 59.1% of the study area is suitable for maize cultivation, including highly and moderately suitable zones, providing valuable insights for sustainable agricultural planning and efficient land resource management.
This work highlights the importance of geospatial technologies in supporting climate-resilient agriculture, improving crop productivity, and strengthening food security in resource-constrained regions.
Honoured to contribute to global research in sustainable agriculture and geospatial applications.