# Deep Learning-Based Mobile Application for Plant Disease Diagnosis

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/deep-learning-based-mobile-application-for-plant-disease-diagnosis/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Shradha Verma,Anuradha Chug,Amit Prakash Singh,Shubham Sharma,Puranjay Rajvanshi |
| Citations | 40 |
| DOI | 10.4018/978-1-5225-8027-0.ch010 |
| Fields | Agricultural and Biological Sciences,Chemistry,Environmental Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2916060083 |
| Type | book-chapter |
| Year | 2019 |

## Paper authors

- [Shradha Verma](https://scholariq.org/researchers/shradha-verma/)

## Paper journal

- [Advances in environmental engineering and green technologies book series](https://scholariq.org/journals/advances-in-environmental-engineering-and-green-technologies-book-series/)

## 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/)
- [Spectroscopy and Chemometric Analyses](https://scholariq.org/topics/spectroscopy-and-chemometric-analyses/)
- [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.