# Towards Digital Twins for Multi-Sensor Land and Plant Monitoring

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/towards-digital-twins-for-multi-sensor-land-and-plant-monitoring/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Rui Neves Madeira,Pedro Albuquerque Santos,Oskars Java,Torsten Priebe,Eduardo Graça,Eszter Sárközi,Bernward Asprion,Raquel Pinto-Bello Gómez |
| Citations | 19 |
| DOI | 10.1016/j.procs.2022.10.118 |
| Fields | Agricultural and Biological Sciences,Environmental Science |
| Open Access | true |
| OA Status | diamond |
| OA URL | https://www.sciencedirect.com/science/article/pii/S1877050922015745/pdf |
| OpenAlex ID | https://openalex.org/W4313155187 |
| Type | conference-paper |
| Year | 2022 |

## Paper authors

- [Pedro Albuquerque Santos](https://scholariq.org/researchers/pedro-albuquerque-santos/)

## Paper journal

- [Procedia Computer Science](https://scholariq.org/journals/procedia-computer-science/)

## 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/)
- [Food Supply Chain Traceability](https://scholariq.org/topics/food-supply-chain-traceability/)
- [Remote Sensing in Agriculture](https://scholariq.org/topics/remote-sensing-in-agriculture/)

---
Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.