# An automated prediction of crop and fertilizer disease using Convolutional Neural Networks (CNN)

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/an-automated-prediction-of-crop-and-fertilizer-disease-using-convolutional/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Geeta Rani,E.T. Venkatesh,K.D. Balaji,Balasaraswathi Yugandher,Adiki Nithin Kumar,M Sakthimohan |
| Citations | 34 |
| DOI | 10.1109/icacite53722.2022.9823767 |
| Fields | Agricultural and Biological Sciences |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4285815693 |
| Type | conference-paper |
| Year | 2022 |

## Paper authors

- [E.T. Venkatesh](https://scholariq.org/researchers/e-t-venkatesh/)

## Paper journal

- [2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE)](https://scholariq.org/journals/2022-2nd-international-conference-on-advance-computing-and-innovative/)

## 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/)
- [Greenhouse Technology and Climate Control](https://scholariq.org/topics/greenhouse-technology-and-climate-control/)
- [Food Supply Chain Traceability](https://scholariq.org/topics/food-supply-chain-traceability/)

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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.