# Towards a semantic structure for classifying IoT agriculture sensor datasets : An approach based on machine learning and web semantic technologies

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/towards-a-semantic-structure-for-classifying-iot-agriculture-sensor-datasets-an/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Lynda Djakhdjakha,Brahim Farou,Seridi Hamid,Hamadoun Cisse |
| Citations | 18 |
| DOI | 10.1016/j.jksuci.2023.101700 |
| Fields | Agricultural and Biological Sciences,Environmental Science |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://doi.org/10.1016/j.jksuci.2023.101700 |
| OpenAlex ID | https://openalex.org/W4385708636 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Lynda Djakhdjakha](https://scholariq.org/researchers/lynda-djakhdjakha/)
- [Brahim Farou](https://scholariq.org/researchers/brahim-farou/)

## 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/)
- [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.