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Intel's Big Data for Precision Farming

Disclosed Non-Personal Data Agriculture

The Data

Intel's Big Data for Precision Farming irrigation project places sensors in crops and other strategic areas to monitor soil and air moisture levels. A second project uses data from a lab that monitors the snow pack in the Sierra Nevada mountain range, correlating it with the size of California’s water supply.

How the data was shared

This was a for-profit endeavour for Intel, whose specially designed sensors aimed specifically to capture moisture and snow melting data in California for research purposes. About 75 gigabytes of data were collected a day from just the Nevada mountain range, and through Intel's self-created platform and reference architecture, researchers from the University of California, Davis, were able to access this infromation.

Purpose of Data Shared

Intel's work with University of California, Davis, aims to perfect irrigation techniques by placing sensors in crops and other strategic areas to monitor soil and air moisture levels. In improving accuracy about the wter supply of a crop, the people behind the project hope to reduce water waste and improve farming techniques to encourage sustainability.

Region: North America

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