# A comprehensive review on detection of plant disease using machine learning and deep learning approaches

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-comprehensive-review-on-detection-of-plant-disease-using-machine-learning-and/

## Facts

| Field | Value |
| --- | --- |
| Author Names | C. Jackulin,S. Murugavalli |
| Citations | 305 |
| DOI | 10.1016/j.measen.2022.100441 |
| Fields | Agricultural and Biological Sciences |
| Open Access | true |
| OA Status | gold |
| OA URL | https://doi.org/10.1016/j.measen.2022.100441 |
| OpenAlex ID | https://openalex.org/W4295854770 |
| Type | article |
| Year | 2022 |

## Paper authors

- [S. Murugavalli](https://scholariq.org/researchers/s-murugavalli/)

## 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/)
- [Leaf Properties and Growth Measurement](https://scholariq.org/topics/leaf-properties-and-growth-measurement/)
- [Date Palm Research Studies](https://scholariq.org/topics/date-palm-research-studies/)

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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.