A major U.S. commodity provider delivers eight billion pounds of produce per year to customers from thousands of independent farms throughout the country. Major commodity producers are shifting towards precision agriculture, which takes the guesswork out of growing crops and facilitates integrated commodity pricing in the financial spot markets.
The system’s applications lived in data silos, and the testing equipment can become uncalibrated without the agency knowing. The feedback provided was stale by the time it reached growers and the pricing market.
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Related Case Study: HPE Shadowbase Software Enables Operational Analytics for Commodity Big Data
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