# CropSense: Deep Learning Approach for Quality Detection in Solanaceous Crops

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/cropsense-deep-learning-approach-for-quality-detection-in-solanaceous-crops/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Shibdas Dutta,Subhrendu Guha Neogi,Vikrant Chole |
| Citations | 0 |
| DOI | 10.1109/inspect67393.2025.11350356 |
| Fields | Agricultural and Biological Sciences,Environmental Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W7125975772 |
| Type | conference-paper |
| Year | 2025 |

## Paper authors

- [Shibdas Dutta](https://scholariq.org/researchers/shibdas-dutta/)

## 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/)
- [Plant Disease Management Techniques](https://scholariq.org/topics/plant-disease-management-techniques/)
- [Remote Sensing in Agriculture](https://scholariq.org/topics/remote-sensing-in-agriculture/)

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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.