Abstract
On-going automation in plant phenotyping has led to an increasing amount of measurement data, which is often managed by specialized, rarely interconnected systems with custom hard- and software. Experiment and analysis scenarios across different systems and the setup of new systems quickly get expensive and tedious. Therefore, we propose a distributed information system, Phenomis, for managing phenotyping experiments based on Data Spaces. Its service-oriented architecture can be adapted to a wide range of plant phenotyping experiments and appliances, helping to overcome the “phenotyping bottleneck“, the mismatch of automated phenotyping capability over analysis capacity.
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