# Deep ensemble model with hybrid intelligence technique for crop yield prediction

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/deep-ensemble-model-with-hybrid-intelligence-technique-for-crop-yield-prediction/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Swanth Boppudi,J Sheela |
| Citations | 9 |
| DOI | 10.1007/s11042-024-18354-1 |
| Fields | Agricultural and Biological Sciences,Decision Sciences |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4391970465 |
| Type | article |
| Year | 2024 |

## Paper authors

- [J Sheela](https://scholariq.org/researchers/j-sheela/)

## Paper primary topic

- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)

## Paper topics

- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)
- [Agricultural Economics and Practices](https://scholariq.org/topics/agricultural-economics-and-practices/)
- [Stock Market Forecasting Methods](https://scholariq.org/topics/stock-market-forecasting-methods/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.
