Data engineering for sustainable agriculture: developments, challenges, and case studies of a novel IoRT architecture
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| 出版年: | Journal of Big Data vol. 12, no. 1 (Aug 2025), p. 195 |
|---|---|
| 第一著者: | |
| その他の著者: | , , , , |
| 出版事項: |
Springer Nature B.V.
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| 主題: | |
| オンライン･アクセス: | Citation/Abstract Full Text Full Text - PDF |
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| 024 | 7 | |a 10.1186/s40537-025-01253-z |2 doi | |
| 035 | |a 3235848968 | ||
| 045 | 2 | |b d20250801 |b d20250831 | |
| 100 | 1 | |a Bimonte, Sandro |u TSCF, INRAE, Clermont-Ferrand, France (GRID:grid.507621.7) | |
| 245 | 1 | |a Data engineering for sustainable agriculture: developments, challenges, and case studies of a novel IoRT architecture | |
| 260 | |b Springer Nature B.V. |c Aug 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a 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. | |
| 653 | |a Farming | ||
| 653 | |a Metadata | ||
| 653 | |a Datasets | ||
| 653 | |a Internet of Things | ||
| 653 | |a Big Data | ||
| 653 | |a Communication | ||
| 653 | |a Robots | ||
| 653 | |a Data processing | ||
| 653 | |a Case studies | ||
| 653 | |a Robotics | ||
| 653 | |a Data management | ||
| 653 | |a Sustainable agriculture | ||
| 653 | |a Farmers | ||
| 653 | |a Artificial intelligence | ||
| 653 | |a Edge computing | ||
| 653 | |a Quality management | ||
| 653 | |a Sensors | ||
| 653 | |a Decision making | ||
| 653 | |a Sustainability | ||
| 653 | |a Agricultural management | ||
| 653 | |a Engineering | ||
| 653 | |a Real time | ||
| 653 | |a Agriculture | ||
| 653 | |a Internet | ||
| 653 | |a Data quality | ||
| 653 | |a Ecology | ||
| 653 | |a Agricultural technology | ||
| 653 | |a Novels | ||
| 700 | 1 | |a Bellocchi, Gianni |u Unité Mixte de Recherche sur Écosystème Prairial (UREP), UCA, INRAE, VetAgro Sup, Clermont-Ferrand, France (GRID:grid.531164.4) (ISNI:0000 0004 0392 1489) | |
| 700 | 1 | |a Pinet, François |u TSCF, INRAE, Clermont-Ferrand, France (GRID:grid.507621.7) | |
| 700 | 1 | |a Chalhoub, Gérard |u Université Clermont Auvergne, IUT Clermont Auvergne, CNRS, LIMOS, Clermont-Ferrand, France (GRID:grid.494717.8) (ISNI:0000 0001 2173 2882) | |
| 700 | 1 | |a Sakr, Mahmoud |u Université Libre de Bruxelles, Data Science and Engineering Lab, Brussels, Belgium (GRID:grid.4989.c) (ISNI:0000 0001 2348 6355) | |
| 700 | 1 | |a Skrzypczyński, Piotr |u Poznań University of Technology, Institute of Robotics and Machine Intelligence, Poznań, Poland (GRID:grid.6963.a) (ISNI:0000 0001 0729 6922) | |
| 773 | 0 | |t Journal of Big Data |g vol. 12, no. 1 (Aug 2025), p. 195 | |
| 786 | 0 | |d ProQuest |t ABI/INFORM Global | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3235848968/abstract/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text |u https://www.proquest.com/docview/3235848968/fulltext/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3235848968/fulltextPDF/embedded/6A8EOT78XXH2IG52?source=fedsrch |