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News
Scientists deploy multi-scale features and attention mechanisms to optimize apple disease identification
A new machine learning algorithm-based disease recognition model elevated the accuracy of apple leaf disease identification to 96.76%, significantly outperforming mainstream models. It allows farmers to swiftly implement targeted treatments via mobile apps.
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News
$7.3M grant to expand wheat pathogen surveillance
One of the world’s largest crop pathogen surveillance systems is set to expand its capacity to protect wheat productivity in food vulnerable areas of East Africa and South Asia.