Making data platforms smarter with MOSES

Francia, Matteo; Gallinucci, Enrico; Golfarelli, Matteo; Leoni, Anna Giulia; Rizzi, Stefano; Santolini, Nicola

doi:10.1016/j.future.2021.06.031

Cited by 13 publications

(1 citation statement)

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“…The core component of the platform is the (FIWARE) Orion Context Broker (OCB) from Telefonica [13], a publish/subscribe context broker that also provides an interface to query contextual information (e.g., obtain all images from the cameras in a specific farm), update context information (e.g., update the images), and be notified when the context is updated (e.g., when a new image is added into the platform). The images and raw data are stored in the HDFS (Hadoop distributed file system), while the NoSQL (not only structured query language) MongoDB database is used to collect the contextual data from FIWARE and further metadata necessary to manage the platform [14]. Additionally, we use Apache KAFKA, an open-source distributed event bus, to distribute context updates from FIWARE to all the modules/containers hosted on the cloud platform.…”

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confidence: 99%

Exploiting the Internet Resources for Autonomous Robots in Agriculture

et al. 2023

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Autonomous robots in the agri-food sector are increasing yearly, promoting the application of precision agriculture techniques. The same applies to online services and techniques implemented over the Internet, such as the Internet of Things (IoT) and cloud computing, which make big data, edge computing, and digital twins technologies possible. Developers of autonomous vehicles understand that autonomous robots for agriculture must take advantage of these techniques on the Internet to strengthen their usability. This integration can be achieved using different strategies, but existing tools can facilitate integration by providing benefits for developers and users. This study presents an architecture to integrate the different components of an autonomous robot that provides access to the cloud, taking advantage of the services provided regarding data storage, scalability, accessibility, data sharing, and data analytics. In addition, the study reveals the advantages of integrating new technologies into autonomous robots that can bring significant benefits to farmers. The architecture is based on the Robot Operating System (ROS), a collection of software applications for communication among subsystems, and FIWARE (Future Internet WARE), a framework of open-source components that accelerates the development of intelligent solutions. To validate and assess the proposed architecture, this study focuses on a specific example of an innovative weeding application with laser technology in agriculture. The robot controller is distributed into the robot hardware, which provides real-time functions, and the cloud, which provides access to online resources. Analyzing the resulting characteristics, such as transfer speed, latency, response and processing time, and response status based on requests, enabled positive assessment of the use of ROS and FIWARE for integrating autonomous robots and the Internet.

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confidence: 99%