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.
Machine learning helps identify chemicals that repel honey bees from pesticides
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