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March 17, 2022
Newly published Michigan State University research led by ecosystems scientist Bruno Basso shows that incorporating in-season water deficit information into remote sensing-based crop models drastically improves corn yield predictions. The study was recently published in Remote Sensing of Environment, a leading journal in the field.

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