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Data engineering for sustainable agriculture: developments, challenges, and case studies of a novel IoRT architecture

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Publicado en:Journal of Big Data vol. 12, no. 1 (Aug 2025), p. 195
Autor principal: Bimonte, Sandro
Otros Autores: Bellocchi, Gianni, Pinet, François, Chalhoub, Gérard, Sakr, Mahmoud, Skrzypczyński, Piotr
Publicado:
Springer Nature B.V.
Materias:
Farming
Metadata
Datasets
Internet of Things
Big Data
Communication
Robots
Data processing
Case studies
Robotics
Data management
Sustainable agriculture
Farmers
Artificial intelligence
Edge computing
Quality management
Sensors
Decision making
Sustainability
Agricultural management
Engineering
Real time
Agriculture
Internet
Data quality
Ecology
Agricultural technology
Novels
Acceso en línea:Citation/Abstract
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Resumen:In recent years, the integration of Internet of Things (IoT) and Robotics has advanced agro-ecological practices. Despite numerous solutions for specific farming applications, a comprehensive reference architecture that addresses the diverse data management and operational requirements of agro-ecology remains absent. This paper introduces a concept of novel architecture for an Internet of Robotic Things (IoRT) system designed to manage the voluminous, real-time, and heterogeneous data in agricultural applications. By leveraging existing frameworks and technologies, this architecture aims to provide robust data management, ensure data quality, and support sustainable farming practices. The proposed architecture is demonstrated through case studies, which show its applicability and efficiency in real-world scenarios. This work is aimed at providing a guideline for researchers and engineers in developing and implementing smart farming solutions with Big Data, IoT and Robotics.
ISSN:2196-1115
DOI:10.1186/s40537-025-01253-z
Fuente:ABI/INFORM Global