How can farmers leverage to AI to boost yields?

If you consider farmers are like data scientists. To make decisions, they ferret out meaning from a sea of data.
That data must me correlated to environmental conditions like temperature, rainfall, salinity, nitrogen, pests, commodity prices, and other variables.
What that data often shows is trouble: increasingly costly or scarce water supplies, new and more voracious pests, herbicide-resistant weeds, and extreme weather. All of this can result in lower farm yields and higher costs.