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Case Study
UMN and Stellenbosch University pool data and diverse climates to accelerate climate-resilient, public-private agricultural research globally.
Case Study
The GEMS Grid standardizes geospatial agricultural data, letting researchers easily combine multi-stream datasets from 36-kilometer down to 1-meter…
Case Study
Validated against field stations, GEMS Weather delivers accurate, cost-effective agricultural data for key modeling variables like temperature and…
Case Study
FFAR’s GEMS Platform connects companies and universities to solve real-world crop breeding and management challenges.
Case Study
GEMS partners with the MDA, using secure AI analysis to link farm conservation practices to improved water quality.
Case Study
GEMS’s multi-trait predictor cuts wheat breeding cycles by two years, getting superior, climate-resilient varieties to market faster.