Agricultural Industry
Researchers in Texas have created a graphene leaf tattoo that reads a plant’s moisture in real time and can act as an artificial synapse, raising the prospect of forests and fields that monitor fire and drought themselves.
European researchers have combined millimeter-wave radar with machine learning to identify bees and wasps by their wingbeats, pointing to a non-destructive new way to monitor the pollinators that underpin global food supplies.
Carbon Robotics’ new Large Plant Model, trained on 150 million images from its laser-weeding fleet, recognises plant species instantly — letting farmers target brand-new weeds in real time without any retraining.
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