Despite the high availability of the phenotyping method, the path from raw data to decision is not easy and requires a specific organisation of the trial, which can be divided into two levels: First, the organisation of the plot must be digitised in order to obtain geo-referenced information on the organisation of the trial, which provides an accurate link between the data collected by a sensor and the expert data. The second level is the precise definition of the trait in order to obtain homogeneous results for the different field stations. This data infrastructure is crucial to speed up the performance of analysis and trial management.
This means that it is necessary to introduce complementary digital tools for high-throughput phenotyping: first, an internal ontology describing the different trait definitions and their relationship to each other, with a code implementation that helps share standards at the organisational level. The crop ontology developed by CGIAR is an excellent starting point for working on an internal ontology. Secondly, a real breeding software like Doriane can help generate all the necessary information for a smooth integration of Cloverfield into your process.