# Plant Disease Detection and Crop Recommendation Using CNN and Machine Learning

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/plant-disease-detection-and-crop-recommendation-using-cnn-and-machine-learning/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Raj Kumar,Neha Shukla,Princee |
| Citations | 29 |
| DOI | 10.1109/mecon53876.2022.9752173 |
| Fields | Agricultural and Biological Sciences,Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4223891647 |
| Type | conference-paper |
| Year | 2022 |

## Paper authors

- [Raj Kumar](https://scholariq.org/researchers/raj-kumar/)

## Paper journal

- [2022 International Mobile and Embedded Technology Conference (MECON)](https://scholariq.org/journals/2022-international-mobile-and-embedded-technology-conference-mecon/)

## 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/)
- [Smart Systems and Machine Learning](https://scholariq.org/topics/smart-systems-and-machine-learning/)

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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.