Please use this identifier to cite or link to this item: https://ruomo.lib.uom.gr/handle/7000/1835
Title: CYBELE: On the Convergence of HPC, Big Data Services, and AI Technologies
Authors: Karagiorgou, Sophia
Papapostolou, Aikaterini
Zeginis, Dimitris
Georgiou, Yannis
Frimpong, Eugene
Tsapelas, Ioannis
Mouzakitis, Spiros
Tarabanis, Konstantinos
Type: Book chapter
Subjects: FRASCATI::Natural sciences::Computer and information sciences
Issue Date: 2022
First Page: 240
Last Page: 254
Volume Title: HPC, Big Data, and AI Convergence Towards Exascale
Abstract: Inefficiency in planting, harvesting, water use, meat consumption, as well as uncertainty about weather, pests, consumer demand, and other intangibles contribute to lower production, advanced costs, and greater need for products of higher quality and quantity. Precision agriculture (PA) and precision livestock farming (PLF) are introduced to assist in optimizing agricultural and livestock production while minimizing the wastes and costs. In this chapter, CYBELE is introduced, a platform aspiring to ensure that the stakeholders involved in the PA and PLF value chain (research and academia, SMEs, entrepreneurs, etc.) are granted unmediated access to a vast amount of very large-scale and distributed datasets. Additionally, by leveraging the convergence of big data, artificial intelligence, and high-performance computing infrastructures, CYBELE facilitates these stakeholders to generate value and extract insights out of the data through advanced data exploration, aggregation, processing, training, analysis, and visualization services.
URI: https://doi.org/10.1201/9781003176664-12
https://ruomo.lib.uom.gr/handle/7000/1835
ISBN: 9781003176664
Other Identifiers: 10.1201/9781003176664-12
Appears in Collections:Department of Business Administration

Files in This Item:
File Description SizeFormat 
Chapter_12_CYBELE_1.pdf754,4 kBAdobe PDFView/Open


This item is licensed under a Creative Commons License Creative Commons