Gumma, M K and Panjala, P and Gupta, S K and Sehgal, V K and Kumara Charyulu, D and Kumar, A A and Bellam, P K and Mohanty, M R and Swain, S K and Sawargaonkar, G and Habyarimana, E and Padhee, A K (2024) Geospatial analysis to identify millet suitable areas in the upland rice ecosystem of Odisha. Journal of Agriculture and Food Research, 19. pp. 1-12. ISSN 2354-4147
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Odisha is a prominent state for rainfed rice cultivation in India which faces severe challenges posed by climate change-induced weather uncertainties. Millets are climate-smart, nutritious crops that can substitute rainfed upland rice in the state. This study identified suitable areas for millet cultivation in the upland regions of Odisha using Sentinel-2 time-series data, DEM and ground data. Through spectral matching techniques, the study accurately delineated areas suitable for millet introduction under upland rice ecosystem. The spatially explicit information provides valuable guidance for the targeted introduction of millets and supporting agricultural management practices amidst climate change conditions. Further, the study evaluated the anticipated economic feasibility of millet cultivation in the upland rice areas. The study identified suitable millet areas across study districts with an overall accuracy of 90.5 %. Stakeholders may improve resource allocation and capitalize on emerging possibilities in Odisha's challenging agro-climatic conditions by providing economic analysis-based decision-making assistance.
| Item Type: | Article |
|---|---|
| Divisions: | Global Research Program - Enabling Systems Transformation Global Research Program - Resilient Farm and Food Systems Research Program : Asia |
| CRP: | UNSPECIFIED |
| Uncontrolled Keywords: | Upland rice areas, Millet suitability analysis, Spatial analysis, Odisha, Sentinel-2 |
| Subjects: | Others > Odisha Mandate crops > Millets Others > GIS Techniques/Remote Sensing |
| Depositing User: | Mr Nagaraju T |
| Date Deposited: | 08 Jan 2025 08:05 |
| Last Modified: | 08 Jan 2025 08:07 |
| URI: | http://oar.icrisat.org/id/eprint/12893 |
| Official URL: | https://www.sciencedirect.com/science/article/pii/... |
| Projects: | UNSPECIFIED |
| Funders: | Ministry of Agriculture and Farmers Empowerment, Govt. of Odisha |
| Acknowledgement: | The authors are thankful to the Ministry of Agriculture and Farmers Empowerment, Govt. of Odisha for financial support. We also thank Ismail Mohammad, and Snigdha for ground data cleaning. |
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