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BrazilChemicals and materials2021 – ongoing

The Mosaic Company

AI-assisted near-infrared fertilizer quality analysis

Mosaic reported 99% shorter analysis times from a fertilizer-testing project that included AI

WorkingCompany's own claimOfficial ↗

Problem

Fertilizer quality checks needed faster chemical measurements to support production decisions. Conventional testing also exposed laboratory staff to reagents.

Approach

Mosaic developed near-infrared spectroscopy for inorganic fertilizer compounds and introduced the project in 2021. AI helped establish reference data and identify sample variations. The method ran alongside official analytical tests to check compliance.

Results

99%reduction in chemical analysis time for the overall NIR projectCompany's own claim[1]
20%increase in laboratory productivity without additional staff for the overall NIR projectCompany's own claim[1]

Takeaway

The reported gains covered the whole spectroscopy project. Mosaic did not separate AI's contribution from the testing method and other changes.

Categories

Business function
Production and quality
Innovation type
Process innovation
Evidence
Company's own claim

Sources

Source summaries

[1]Mosaic22 Aug 2024

Mosaic described AI-assisted spectroscopy for fertilizer quality control. It reported 99% shorter analysis times and 20% higher laboratory productivity for the combined project.

Full details are in the original sources.

Added 1 Nov 2026 · Updated 1 Nov 2026
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