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

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Библиографические подробности
Опубликовано в::	Journal of Big Data vol. 12, no. 1 (Aug 2025), p. 195
Главный автор:	Bimonte, Sandro
Другие авторы:	Bellocchi, Gianni, Pinet, François, Chalhoub, Gérard, Sakr, Mahmoud, Skrzypczyński, Piotr
Опубликовано:	Springer Nature B.V.
Предметы:	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
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Описание
Краткий обзор:	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
Источник:	ABI/INFORM Global