Data engineering for sustainable agriculture: developments, challenges, and case studies of a novel IoRT architecture
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-ecolo...
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Published in | Journal of big data Vol. 12; no. 1; pp. 195 - 29 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
Cham
Springer International Publishing
02.08.2025
Springer Nature B.V SpringerOpen |
Subjects | |
Online Access | Get full text |
ISSN | 2196-1115 2196-1115 |
DOI | 10.1186/s40537-025-01253-z |
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Abstract | 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. |
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AbstractList | 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. Abstract 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. |
ArticleNumber | 195 |
Author | Pinet, François Skrzypczyński, Piotr Sakr, Mahmoud Bimonte, Sandro Bellocchi, Gianni Chalhoub, Gérard |
Author_xml | – sequence: 1 givenname: Sandro surname: Bimonte fullname: Bimonte, Sandro organization: TSCF, INRAE – sequence: 2 givenname: Gianni surname: Bellocchi fullname: Bellocchi, Gianni organization: UCA, INRAE, VetAgro Sup, Unité Mixte de Recherche sur Écosystème Prairial (UREP) – sequence: 3 givenname: François surname: Pinet fullname: Pinet, François organization: TSCF, INRAE – sequence: 4 givenname: Gérard surname: Chalhoub fullname: Chalhoub, Gérard organization: Université Clermont Auvergne, IUT Clermont Auvergne, CNRS, LIMOS – sequence: 5 givenname: Mahmoud surname: Sakr fullname: Sakr, Mahmoud organization: Data Science and Engineering Lab, Université Libre de Bruxelles – sequence: 6 givenname: Piotr surname: Skrzypczyński fullname: Skrzypczyński, Piotr email: piotr.skrzypczynski@put.poznan.pl organization: Institute of Robotics and Machine Intelligence, Poznań University of Technology |
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SubjectTerms | Agricultural management Artificial intelligence Big Data Case studies Communication Communications Engineering Computational Science and Engineering Computer Science Data management Data Mining and Knowledge Discovery Data processing Database Management Datasets Decision making Edge computing Emergent architectures and technologies for big data management and analysis Engineering Farmers Farming Information Storage and Retrieval Internet of Things Mathematical Applications in Computer Science Metadata Methodology Networks Quality management Real time Robotics Robots Sensors Sustainability Sustainable agriculture |
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Title | Data engineering for sustainable agriculture: developments, challenges, and case studies of a novel IoRT architecture |
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