U.S.: Study Uses Artificial Intelligence to Better Predict Corn Yield
With some reports predicting the precision agriculture market will reach $12.9 billion by 2027, there is an increasing need to develop sophisticated data-analysis solutions that can guide management decisions in real time, reports the Kenosha News.
A new study from an interdisciplinary research group at the University of Illinois offers a promising approach to efficiently and accurately process precision ag data.
“We’re trying to change how people run agronomic research. Instead of establishing a small field plot, running statistics, and publishing the means, what we’re trying to do involves the farmer far more directly,” Nicolas Martin, assistant professor in the Department of Crop Sciences at Illinois and co-author of the study, said in a university news release.
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