Cloud and Distributed Architectures for Data Management in Agriculture 4.0 : Review and Future Trends

Agriculture 4.0,; Smart Farming; Smart Agriculture; Lambda Architecture; Kappa Architecture; Edge Computing; Fog Computing; Micro-Service Architecture; Data Lake; Data House; Blockchain; Osmotic Computing; Dew Computing

Abstract :

[en] The Agriculture 4.0 also called Smart Agriculture or Smart Farming is at the origin of the production of a huge amount of data that must be collected, stored and processed in very short times. Processing this massive quantity of data needs to use specific infrastructure that use adapted IoT architectures. Our review offers a comparative panorama of Central Cloud, Distributed Cloud Architectures, Collaborative Computing Strategies, and new trends used in the context of Agriculture 4.0. In this review, we try to answer 4 research questions: (1) Which storage and processing architectures are best suited to Agriculture 4.0 applications and respond to its peculiarities? (2) Can generic architectures meet the needs of Agriculture 4.0 application cases? (3) What are the horizontal development possibilities that allow the transition from research to industrialization? (4) What are the vertical valuations possibilities to move from algorithms trained in the cloud to embedded or stand-alone products? For this, we compare architectures with 8 criteria (User Proximity, Latency & Jitter, Network stability, high throughput, Reliability, Scalability, Cost Effectiveness, Maintainability) and analyze the advantages and disadvantages of each of them.

Disciplines :

Computer science

Author, co-author :

Debauche, Olivier ; Université de Liège - ULiège > TERRA Research Centre

Mahmoudi, Saïd

Manneback, Pierre

Lebeau, Frédéric ; Université de Liège - ULiège > Département GxABT > Biosystems Dynamics and Exchanges

Language :

English

Title :

Cloud and Distributed Architectures for Data Management in Agriculture 4.0 : Review and Future Trends

Publication date :

07 October 2021

Journal title :

Journal of King Saud University - Computer and Information Sciences

ISSN :

1319-1578

eISSN :

2213-1248

Publisher :

Elsevier

Peer reviewed :

Peer Reviewed verified by ORBi

Available on ORBi :

since 13 September 2021

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260 (11 by ULiège)

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191 (9 by ULiège)

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