AgIQ RecommendationsFrom Lab Results to Fertilizer Plans, Automatically

Interpreting a soil analysis and converting it into a defensible fertilizer plan is skilled work — and when it is done by hand in a spreadsheet, it is also slow, inconsistent between agronomists, and impossible to audit later.

AgIQ Recommendations automates the mechanical part and leaves the judgement to the agronomist. Lab results arrive, are parsed and interpreted against crop requirements, and a recommendation is generated in seconds rather than hours — with an approval workflow so nothing reaches a farmer without a human sign-off.

The platform integrates with 10 laboratories across Southern Africa and automatically parses 15 different soil and leaf result formats. There is no re-keying of values from a PDF into a spreadsheet, and no transcription errors quietly corrupting a recommendation.

Because sample points arriving from AgIQ Mobile carry their GPS coordinates, returning lab results attach to the exact location they came from — which is what makes spatial soil maps and variable rate prescriptions possible downstream.

Recommendations are optimised across 49 crop varieties, matching nutrient requirements to available fertilizer blends rather than producing a theoretical target no supplier can actually mix.

Output is a branded PDF report that can be white-labelled for your organisation, so agronomy businesses and fertilizer companies deliver advice under their own identity. An AI chat sits over the whole dataset for querying recommendations and soil history in plain language.