The cooperative introduces a
decision-support tool designed to help crop specialists make faster, more
precise recommendations for growers.
United
States: GROWMARK unveiled a new AI agronomy
agent inside its myFS Agronomy app for the 2026 crop season. The
platform combines the cooperative’s agronomic data with analytics from
Intelinair to help crop specialists evaluate hybrid placement, nitrogen
decisions, fungicide use, breakeven yields, and in-season crop performance.
According to the company, the tool pulls together crop plans, soil data, field
boundaries, imagery, product application history, and prior results so advisors
can spend less time associating data and more time supporting grower decisions.
GROWMARK said it serves nearly 400,000 farmers and customers across
the United States and Canada.
This
tool will help in making AI powered agronomic decisions by guiding the farmer
customers on hybrid placement, fungicide, and nitrogen decisions and various
other crop management practices. Additionally, this tool will help the farmer
customers to make timely, confident decisions throughout the growing season.
According
to Brendan Bachman, FS agronomy director, “The new AI agent elevates
the recommendations of our crop specialists by surfacing insights that simply
weren’t possible when analysis relied on manual, time-intensive processes. This
allows our teams to focus on decision points, not data association, helping
growers make better-informed decisions for their farm operations. As we
continue to innovate within the myFS Agronomy platform, the data-driven value
we deliver to customers will only increase supporting smarter management
choices and stronger farm profitability”.
TechSci
Research views GROWMARK’s launch as a strong indicator of how agriculture is
shifting from data collection to decision automation. Precision
agriculture has long generated vast datasets, but value realization has often
been constrained by fragmented workflows and limited usability at the advisor
level. By embedding AI into a field-facing agronomy platform, GROWMARK is
moving toward a model where recommendations can be generated in near real time
and linked more directly to farm profitability. This is commercially important
because growers increasingly expect actionable guidance rather than raw
dashboards. The move also benefits ag-input suppliers, imagery providers,
farm-management software companies, and insurers, since better field-level
recommendations can improve input timing, reduce waste, and tighten
working-capital discipline. Over time, AI-enabled agronomy could become a core
differentiator for cooperatives and retailers competing on service quality
rather than only price.