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Unsupervised domain adaptation and super resolution on drone images for autonomous dry herbage biomass estimation
In this context, deep learning algorithms offer a tempting alternative to the usual means of sward composition estimation, which involves the destructive process of cutting a sample from the herbage field and sorting by hand all plant species in the herbage.
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