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Quantifying agricultural data generation on Wisconsin farms: A case study
Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan www.asabe.org
Citation: 2018 ASABE Annual International Meeting 1800897.(doi:10.13031/aim.201800897)
Authors: Jessica L Drewry, Brian D Luck, John M Shutske, David D Trechter
Keywords: precision agriculture, rural broadband
Abstract. As agricultural producers continue to adopt precision management, big data applications, and “Internet of things” they are generating increasingly vast quantities of data on their operations. The collection and storage of extensive amounts of data is required to understand trends and make decisions. In addition, much of this data must transferred over the internet between locations on the operation, individuals, software, storage location, etc. Thus, broadband speed and bandwidth can limit productivity when time sensitive data must be transferred. The data was categorized by the activity in which it was generated, its intended use, and need to be transferred over the internet. This information will be used to better define rural broadband needs that would allow agricultural producers to make data-driven decisions and foster innovation. A pilot assessment of two Wisconsin producers found that in 2017, producers generated and stored 11 MB per hectare and 73 MB per milking head.
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