# Interpretable Deep Learning for Plant Disease Detection: A Comparative Study with Explainability Metrics

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/interpretable-deep-learning-for-plant-disease-detection-a-comparative-study-with/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Meera Liz Joy,Vipin Jain,V Manisha,P. Sinha,Neetesh Gupta |
| Citations | 0 |
| DOI | 10.1109/icoeit63558.2025.11211548 |
| Fields | Agricultural and Biological Sciences,Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4415745354 |
| Type | conference-paper |
| Year | 2025 |

## Paper authors

- [Vipin Jain](https://scholariq.org/researchers/vipin-jain/)
- [P. Sinha](https://scholariq.org/researchers/p-sinha/)
- [V Manisha](https://scholariq.org/researchers/v-manisha/)
- [Neetesh Gupta](https://scholariq.org/researchers/neetesh-gupta/)

## 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/)
- [Explainable Artificial Intelligence (XAI)](https://scholariq.org/topics/explainable-artificial-intelligence-xai/)

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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.