# Enhancing hydroponic farming with Machine Learning: Growth prediction and anomaly detection

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/enhancing-hydroponic-farming-with-machine-learning-growth-prediction-and-anomaly/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Ahmed Métwalli,Omar Shalash,Alia Elhefny,Nour Rezk,Fares El Gohary,Omar El Hennawy,Fouad Akrab,Adam Shawky,Ziad Mohamed,Nayira Hassan,Mostaafa Hassanen |
| Citations | 12 |
| DOI | 10.1016/j.engappai.2025.111214 |
| Fields | Agricultural and Biological Sciences,Environmental Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4411135721 |
| Type | article |
| Year | 2025 |

## Paper authors

- [Omar Shalash](https://scholariq.org/researchers/omar-shalash/)

## Paper journal

- [Engineering Applications of Artificial Intelligence](https://scholariq.org/journals/engineering-applications-of-artificial-intelligence/)

## Paper primary topic

- [Water Quality Monitoring Technologies](https://scholariq.org/topics/water-quality-monitoring-technologies/)

## Paper topics

- [Water Quality Monitoring Technologies](https://scholariq.org/topics/water-quality-monitoring-technologies/)
- [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.