First off, predictive soil mapping takes the information from the soil surveys in the 80s and 90s that were limited by technology, and improves the resolution of the generated maps and overlays polygons digitally, that contain more soil information. “Instead of knowing each polygon has three or four different soil types, you actually have an… Read More
There’s a saying about decisions being only as good as the information they’re based on. The same could be said for agronomic decisions based on maps; the better the map, the better the decision. When Cory Willness, based at Naicam, Sask., got going in his agronomist role, most field maps (if they existed) were based… Read More
If you’re like many western Canadian grain farmers, you put the bulk of the year’s fertilizer on in the spring. That practice means you need the most informed data in front of you before the growing season to determine how much of which nutrient goes where — preferably as close as possible to amount needed… Read More
The resolution at which farm equipment can treat a field continues to shrink, automatically adjusting rates on-the-fly to account for variability in a field rather than treating an entire field the same. To use an inkjet printer analogy, today’s equipment is increasingly capable of “printing” pixels that are only metres or even centimetres in size rather than… Read More
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