# Department of Science and Technology, Ministry of Science and Technology, India

**Type:** Funders  
**Canonical URL:** https://scholariq.org/funders/department-of-science-and-technology-ministry-of-science-and-technology-india/

## Facts

| Field | Value |
| --- | --- |
| Country | IN |
| Description | Indian government agency |
| OpenAlex ID | https://openalex.org/F4320320719 |
| ROR ID | https://ror.org/0101xrq71 |
| Works | 163,239 |

## Funder papers

- [Deep Learning model of sequential image classifier for crop disease detection in plantain tree cultivation](https://scholariq.org/papers/deep-learning-model-of-sequential-image-classifier-for-crop-disease-detection-in/)
- [Stereopsis following surgery in children with congenital and developmental cataracts: A systematic review and meta-analysis](https://scholariq.org/papers/stereopsis-following-surgery-in-children-with-congenital-and-developmental/)
- [Stacking ensemble model for predicting chronic kidney disease in the Uddanam region of India with unknown etiology](https://scholariq.org/papers/stacking-ensemble-model-for-predicting-chronic-kidney-disease-in-the-uddanam/)

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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.