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.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
Details
1 TSCF, INRAE, Clermont-Ferrand, France (GRID:grid.507621.7)
2 Unité Mixte de Recherche sur Écosystème Prairial (UREP), UCA, INRAE, VetAgro Sup, Clermont-Ferrand, France (GRID:grid.531164.4) (ISNI:0000 0004 0392 1489)
3 Université Clermont Auvergne, IUT Clermont Auvergne, CNRS, LIMOS, Clermont-Ferrand, France (GRID:grid.494717.8) (ISNI:0000 0001 2173 2882)
4 Université Libre de Bruxelles, Data Science and Engineering Lab, Brussels, Belgium (GRID:grid.4989.c) (ISNI:0000 0001 2348 6355)
5 Poznań University of Technology, Institute of Robotics and Machine Intelligence, Poznań, Poland (GRID:grid.6963.a) (ISNI:0000 0001 0729 6922)