# Anomaly Detection on Data Streams for Smart Agriculture

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/anomaly-detection-on-data-streams-for-smart-agriculture/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Juliet Chebet Moso,Stéphane Cormier,Cyril de Runz,Hacène Fouchal,John Wandeto |
| Citations | 58 |
| DOI | 10.3390/agriculture11111083 |
| Fields | Agricultural and Biological Sciences,Computer Science |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.mdpi.com/2077-0472/11/11/1083/pdf?version=1637459448 |
| OpenAlex ID | https://openalex.org/W3209973645 |
| Type | article |
| Year | 2021 |

## Paper authors

- [John Wandeto](https://scholariq.org/researchers/john-wandeto/)

## Paper journal

- [Agriculture](https://scholariq.org/journals/agriculture/)

## Paper primary topic

- [Anomaly Detection Techniques and Applications](https://scholariq.org/topics/anomaly-detection-techniques-and-applications/)

## Paper topics

- [Anomaly Detection Techniques and Applications](https://scholariq.org/topics/anomaly-detection-techniques-and-applications/)
- [Food Supply Chain Traceability](https://scholariq.org/topics/food-supply-chain-traceability/)
- [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.