# Late Blight Detection in Tomato Plants Using ResNet-Based Models with IoT Integration for Precision Agriculture

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/late-blight-detection-in-tomato-plants-using-resnet-based-models-with-iot/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Mohamed Fadel,Muhammad Awad Saker,Omar El-Gamal,Nada El-Banna,Dai Shahin,Rola Helal,Khaled M. Fouad,Ibrahim Attiya |
| Citations | 0 |
| DOI | 10.1007/978-3-032-15784-3_27 |
| Fields | Agricultural and Biological Sciences,Environmental Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W7147660430 |
| Type | conference-paper |
| Year | 2026 |

## Paper authors

- [Mohamed Fadel](https://scholariq.org/researchers/mohamed-fadel/)
- [Nada El-Banna](https://scholariq.org/researchers/nada-el-banna/)
- [Rola Helal](https://scholariq.org/researchers/rola-helal/)

## 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/)
- [Plant Disease Management Techniques](https://scholariq.org/topics/plant-disease-management-techniques/)
- [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.