ONTARIO GRAIN FARMER TECHNOLOGY Crowne Plaza Kitchener December - , Register by November 18 to secure your hotel accommodation. For more details go to www.gfo.ca/womens-grain-symposium Technological advances could one day help with tasks such as hybrid or variety selection by pulling yield data from trials and comparing a few products. But the decisions AI can make are only as good as the data available to it and the questions asked of it. “Not all of the good data is publicly available,” notes Zettler. “Some of it rests within the minds of farmers, agronomists or other industry people. It’ll be hard to replace what a human sees in the field in a given situation. The more specific you can be, the better the outcome you’re likely to have.” If there’s a particular challenge for AI within the cropping sector, it’s in the “one-and-done” reality of a growing season. Like a first impression, growers usually have one chance to make the right decision on the crop they’re growing. But that’s where historical data adds real value. “Where I see AI being a bigger help is with data entry and workflow,” says Zettler. “Instead of worrying about using it to make decisions about the crop, use it to pull together the soil sample history, rank fields in groups for fertility recommendations, and analyze different fertilizer programs. It should make a farmer or advisor using AI more efficient and effective, allowing them to focus on higher-value tasks.” • continued from page 31 “Where I see AI being a bigger help is with data entry and workflow. - Jonathan Zettler Fieldwalker Agronomy
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