The Mosaic Company
AI-assisted near-infrared fertilizer quality analysis
Mosaic reported 99% shorter analysis times from a fertilizer-testing project that included AI
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
Takeaway
The reported gains covered the whole spectroscopy project. Mosaic did not separate AI's contribution from the testing method and other changes.
Categories
- Size
- Large enterprise
- Industry
- Chemicals and materials
- Business function
- Production and quality
- Innovation type
- Process innovation
- AI technology
- Predictive analytics and ML
- Adoption
- Built in-house
- Evidence
- Company's own claim
Sources
Source summaries
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.