September 13, 2021
New statistical model throws weight behind sustainable farming practices
Scientists from MSU and the University of California, Berkeley are developing a first-of-its-kind risk model for sustainable farm practices. The sophisticated statistical model will show that complex crop rotations are the best strategy for building ecological and economic resiliency, literally from the ground up. MSU statistician Frederi Viens is a member of the risk model working group, brought together by the non-profit Land Core, that will use remote-sensed data, soil samples, farmer surveys and statistical analyses to convince lenders to prioritize financing farmers that adopt practices such as cover crops, no-till, low-till and diverse crop rotations including hay and pasture for livestock.
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