# Cropsense: Explainable Deep Learning Framework for Accurate Quality Detection in Solanaceous Crops

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/cropsense-explainable-deep-learning-framework-for-accurate-quality-detection-in/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Shibdas Dutta,Subhrendu Guha Neogi,Shiladitya Chowdhury,Vikrant Chole,Arpan Pramanik,Diya Chanda |
| Citations | 0 |
| DOI | 10.1109/icrito66076.2025.11241535 |
| Fields | Agricultural and Biological Sciences,Computer Science,Environmental Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4416748004 |
| 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/)
- [Remote Sensing in Agriculture](https://scholariq.org/topics/remote-sensing-in-agriculture/)
- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)

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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.