Researchers Develop Method to Repel Bees from Pesticide-Treated Crops
What happened
Researchers at the University of California, Riverside created a machine learning-based method to identify chemical compounds that can safely repel honey bees from crops treated with pesticides. The interdisciplinary team, led by Anandasankar Ray, used the model, which was trained on odorant chemical structures and recorded bee behavior, to find effective deterrents. This research aims to address the decline in honey bee populations linked partly to pesticide exposure.
From miragenews.com
Why it matters
The research offers a potential solution to an ecological challenge in agriculture by providing a way to use scent as a deterrent for bees. By finding safe ways to repel bees, the method could help mitigate the risks associated with pesticide use in farming.
From miragenews.com
Who's involved
- Boris BaerResearcher who collaborated on the study regarding insect olfactory behavior.
- Anandasankar RayResearcher who led the team developing the machine learning method.
- University of California, RiversideUniversity where the research team is based.
Who could feel it
Possible knock-on effectsThese are possibilities Brind reasoned out, not predictions, and not advice. Most are not stated in any report.
- University of California, RiversideSpeculative
The institution might see increased funding and improved reputation due to the successful research.
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The entities involved
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Anandasankar Ray
researcher
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University of California, Riverside
public research university in Riverside, California, United States
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