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 inJournal of big data Vol. 12; no. 1; pp. 195 - 29
Main Authors Bimonte, Sandro, Bellocchi, Gianni, Pinet, François, Chalhoub, Gérard, Sakr, Mahmoud, Skrzypczyński, Piotr
Format Journal Article
LanguageEnglish
Published Cham Springer International Publishing 02.08.2025
Springer Nature B.V
SpringerOpen
Subjects
Online AccessGet full text
ISSN2196-1115
2196-1115
DOI10.1186/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.
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
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  organization: Institute of Robotics and Machine Intelligence, Poznań University of Technology
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Snippet In recent years, the integration of Internet of Things (IoT) and Robotics has advanced agro-ecological practices. Despite numerous solutions for specific...
Abstract In recent years, the integration of Internet of Things (IoT) and Robotics has advanced agro-ecological practices. Despite numerous solutions for...
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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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