Machine learning helps identify chemicals that repel honey bees from pesticides

In a win for pollinator conservation, researchers at the University of California, Riverside, have developed a machine learning-based method to identify chemical compounds that can safely repel honey bees from pesticide-treated crops. The research offers a potential solution to one of agriculture's most urgent ecological challenges: the ongoing decline in honey bee populations, driven in part by pesticide exposure. The paper is published in the journal eLife.

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