Researchers at the John Innes Centre for plant and microbial science were looking for a cost‐effective phenotyping platform for automated seed imaging. They figured a machine learning-driven image analysis was the quickest way to deliver this essential, yet challenging, aspect of agricultural research. Sounds complicated, but they found that our tiny computers could handle it…

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