PHIS on EGI Cloud: Advancing Plant Phenotyping with Scalable e-Infrastructure
Year: 2025
Type: article
Abstract: In the world of plant science, high-throughput phenotyping produces massive datasets that demand powerful, scalable infrastructure for effective management and analysis. PHIS (Phenotyping Hybrid Information System) is a cutting-edge, open-source platform that transforms how plant phenotyping data is integrated and shared. In this talk, Isabelle Alic will explore how PHIS utilizes EGI Cloud's robust capabilities to provide a flexible, high-performance environment for managing complex phenotyping workflows. She will highlight how EGI Cloud enables seamless data sharing, accelerates collaboration, and supports the FAIR principles of data accessibility and interoperability. Join us to discover how EGI's advanced cloud infrastructure is helping to drive innovative, data-driven solutions in plant research and open science.
Author: Chen, Yin
Institution: EGI
Language: English
Subfield: Information Systems and Management
Field: Decision Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W6893281647
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