# FruitQ-GradeX: Determining Fruit Quality and Grading with Explainable Deep Learning

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/fruitq-gradex-determining-fruit-quality-and-grading-with-explainable-deep/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Shibdas Dutta,Subhrendu Guha Neogi,Diya Chanda,Arpan Pramanik,Özgün Girgin,Enes Ladin Öncül |
| Citations | 0 |
| DOI | 10.1109/icrito66076.2025.11241706 |
| Fields | Agricultural and Biological Sciences,Chemistry,Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4416748022 |
| 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/)
- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)
- [Spectroscopy and Chemometric Analyses](https://scholariq.org/topics/spectroscopy-and-chemometric-analyses/)

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