# An AIoT-based hydroponic system for crop recommendation and nutrient parameter monitorization

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/an-aiot-based-hydroponic-system-for-crop-recommendation-and-nutrient-parameter/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Md. Anisur Rahman,Narayan Ranjan Chakraborty,Abu Sufiun,Sumit Kumar Banshal,Fowzia Rahman Tajnin |
| Citations | 42 |
| DOI | 10.1016/j.atech.2024.100472 |
| Fields | Agricultural and Biological Sciences,Environmental Science |
| Open Access | true |
| OA Status | gold |
| OA URL | https://doi.org/10.1016/j.atech.2024.100472 |
| OpenAlex ID | https://openalex.org/W4398164607 |
| Type | article |
| Year | 2024 |

## Paper authors

- [Sumit Kumar Banshal](https://scholariq.org/researchers/sumit-kumar-banshal/)

## Paper journal

- [Smart Agricultural Technology](https://scholariq.org/journals/smart-agricultural-technology/)

## 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/)
- [Water Quality Monitoring Technologies](https://scholariq.org/topics/water-quality-monitoring-technologies/)
- [Innovations in Aquaponics and Hydroponics Systems](https://scholariq.org/topics/innovations-in-aquaponics-and-hydroponics-systems/)

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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.