Machine-learning VRN: Fusing protein, satellites, soil sensing and weather (AGM1426)

START

July 1, 2026

FINISH

June 30, 2028

Summary

This project will develop a data fusion platform that integrates yield and protein maps, soil sensing, satellite data and local weather to deliver risk-adjusted variable-rate nitrogen prescriptions at growth stages 21 to 30, improving nitrogen use efficiency, profitability and environmental outcomes in water-limited grain systems.

Project Participants

Fabio Arsego, Agsave Merchandise

The research

This project will develop a data fusion platform that integrates yield and protein maps, soil sensing, satellite data and local weather to deliver risk-adjusted variable-rate nitrogen prescriptions at growth stages 21 to 30, improving nitrogen use efficiency, profitability and environmental outcomes in water-limited grain systems.

Funding

$185,629

More information

Fabio Arsego

P: 0403 490 815

E: [email protected]

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