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 o
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 o This story matters for Science & Discovery readers tracking engineering. Reported by phys.org. Read the full original at the source link below.
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