Over at the John Innes Centre researchers have used Raspberry Pi to develop a lost-cost phenotyping platform for automated seed imaging. Here’s more from New Phytologist:
Here, we introduce SeedGerm, a platform designed for automating seed imaging and high‐throughput germination analysis for a variety of crop seeds. SeedGerm incorporates cost‐effective hardware components for seed imaging and the implementation and maintenance of experimental conditions (e.g. ambient temperature and humidity), as well as ML‐based analytic software for measuring both germination‐ and establishment‐related traits during the germination process. Utilising SeedGerm, we are able to quantify the performance of seed lots based on individual seeds rather than a fitted germination curve. The analytic software embedded in SeedGerm is able to process multiple image series at the same time and export analysis results in both comma‐separated values (CSV) files and as processed images (e.g. germination masks in PNG format), at both seed and panel levels (normally one genotype per germination panel). We also demonstrate that SeedGerm matches seed specialists’ observations for the scoring of radicle emergence timing for crop species such as tomato, pepper, Brassica, barley and maize seeds, which can also be used as a research tool to identify the genetic basis of germination differences between varieties.
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