@article{Sonka:163351,
      recid = {163351},
      author = {Sonka, Steve},
      title = {Big Data and the Ag Sector: More than Lots of Numbers},
      journal = {International Food and Agribusiness Management Review},
      address = {2014-02-01},
      number = {1030-2016-82967},
      series = {Volume 17},
      pages = {20},
      month = {Feb},
      year = {2014},
      note = {The International Food and Agribusiness Management Review  is the published by IFAMA. www.ifama.org},
      abstract = {It seems that one can’t go through a work day without  seeing some mention of Big Data, its application and its  potential to have unprecedented impact. The potential for  Big Data application in the agricultural sector is  examined. The role of analytics and the variety and  velocity characteristics of Big Data as they can apply to  the sector are stressed. Integration of data and analysis  across business and government entities will be needed for  successful implementation. The eventual impact of Big Data  within the agricultural sector likely will require both  organizational and technological innovation.},
      url = {http://ageconsearch.umn.edu/record/163351},
      doi = {https://doi.org/10.22004/ag.econ.163351},
}