Please use this identifier to cite or link to this item:
http://111.93.178.142:25000/jspui/handle/123456789/7718Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Sandip Garai | - |
| dc.date.accessioned | 2026-10-05T10:31:40Z | - |
| dc.date.available | 2026-10-05T10:31:40Z | - |
| dc.date.issued | 2026-10-05 | - |
| dc.identifier.uri | http://111.93.178.142:25000/jspui/handle/123456789/7718 | - |
| dc.description | Vol. 126 No 3, p 360 | en_US |
| dc.language.iso | en | en_US |
| dc.subject | Climate change | en_US |
| dc.subject | crop planning | en_US |
| dc.subject | empirical comparison | en_US |
| dc.subject | machine learning | en_US |
| dc.subject | prediction | en_US |
| dc.subject | rainfall | en_US |
| dc.title | Machine learning algorithms for predicting rainfall in India | en_US |
| dc.type | Other | en_US |
| Appears in Collections: | Vol. 126 No 3, 2024 | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 1.pdf | Vol. 126 No 3, p 360 | 222.16 kB | Adobe PDF | View/Open |
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