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Crop-suitability analysis using geospatial techniques for turmeric production under north Easternghat zone of Odisha

International Journal of Research in Agronomy · 2024 · Vol. 7(4) · pp. 775–780

Abstract

The current study used a geographic information system (GIS) technique with rainfall, temperature, soil texture, drainage density, pH, organic carbon, and slope as numerous factors to evaluate the appropriateness of turmeric crops at Kandhamal District, Odisha. The model builder module in ArcGIS 10.8 was used to generate the crop-suitability model. The reclassify tool and weighted overlay analysis were used to superimpose each input parameter once it had been reclassified in accordance with the optimal crop-growth requirement. Similarly, S1 (99.9%) and S2 (0.1%) were projected to be the crop suitability classes for turmeric. The research claims that the area is quite fertile. Consequently, agricultural yield can be raised by cultivating the crop in highly and moderately favorable zones.

Agricultural Economics and PracticesAgricultural Science and FertilizationAgricultural Systems and PracticesGeospatial analysisCropCrop productionProduction (economics)GeomaticsGeographyAgricultural engineeringAgricultureRemote sensingEngineering
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Crop-suitability analysis using geospatial techniques for turmeric production under north Easternghat zone of Odisha · Scinovex