# Crop Disease Detection Using Lightweight Deep Learning Model for Smartphone

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/crop-disease-detection-using-lightweight-deep-learning-model-for-smartphone/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Ankit Rathod -,Dhruv Panchal -,Prof. Neha Minocha -,Dulari Bhatt |
| Citations | 2 |
| DOI | 10.71097/ijsat.v16.i2.4410 |
| Fields | Agricultural and Biological Sciences |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://www.ijsat.org/papers/2025/2/4410.pdf |
| OpenAlex ID | https://openalex.org/W4409949167 |
| Type | article |
| Year | 2025 |

## Paper authors

- [Prof. Neha Minocha -](https://scholariq.org/researchers/prof-neha-minocha/)
- [Dulari Bhatt](https://scholariq.org/researchers/dulari-bhatt/)

## Paper journal

- [International Journal on Science and Technology](https://scholariq.org/journals/international-journal-on-science-and-technology/)

## 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/)

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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.