Research guided by a plant pathologist in Penn State’s College of Agricultural Sciences suggests that machine-learning algorithms that are programmed to recognize changing weather patterns could show producers and agricultural managers how to increase soybean and corn yields in the United States.
Click here for original story, U.S. soybean, corn yields could be increased through use of machine learning
Source: Phys.org