Big Data: Background and Applications used in Agriculture and Food Systems
Volume, velocity, variety, and veracity are descriptors of big data. Remote sensing, geospatial, Census and supermarket scanner data are only a few examples of big data. Accessibility, quality and security are challenges associated with big data. Higher yields and better matching of product to consumer demand are two outcomes from research using big data.
