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Big data addresses climate variability

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Big data research is meant to help farmers adapt to climate variability and improve sustainability.  Lead scientist Bruno Basso at Michigan State University says the project he’s involved in will implement models that predict field conditions in current and future climates.

“The goal really is to help producers understand the information that they have collecting over time, mainly yield mapping.” According to Basso, “things that really go under the category of big data.”

Basso says the research will integrate climate smart technologies to be more efficient. The multi-state effort includes aspects of economics, water trading and policies, as well as monitoring greenhouse gas emissions.

Over the next five years, the project will consist of field experiments and developing new technologies for farmers to increase water and nutrient use efficacy.

AUDIO: Interview with Bruno Basso (2:59 mp3):

 

 

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