# Deep Learning Techniques For Crop Nutrient Deficiency Detection—A Comprehensive Survey

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/deep-learning-techniques-for-crop-nutrient-deficiency-detection-a-comprehensive/

## Facts

| Field | Value |
| --- | --- |
| Author Names | K. U. Kala,M. Nandhini,M. N. Kishore Chakkravarthi,M. Thangadarshini,Shradha Verma |
| Citations | 6 |
| DOI | 10.1201/9781003435228-18 |
| Fields | Agricultural and Biological Sciences,Health Professions |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4389097719 |
| Type | book-chapter |
| Year | 2023 |

## Paper authors

- [K. U. Kala](https://scholariq.org/researchers/k-u-kala/)
- [M. Thangadarshini](https://scholariq.org/researchers/m-thangadarshini/)

## Paper primary topic

- [Artificial Intelligence in Healthcare](https://scholariq.org/topics/artificial-intelligence-in-healthcare/)

## Paper topics

- [Artificial Intelligence in Healthcare](https://scholariq.org/topics/artificial-intelligence-in-healthcare/)
- [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.