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Big Data and Implications at the Farm
July 2015

By John Fulton, Ph.D.
Associate Professor
Food, Agriculture and Biological Engineering Department
The Ohio State University
Phone: 614-292-6625


Executive Summary
(6 min 50 sec)

Full Presentation
(27 min 55 sec)


for PC, Mac, and
Mobile Devices


for iPhone

for PC, Mac, and
Mobile Devices


for iPhone


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Summary: Big Data continues to receive attention in the agriculture industry with both small and large companies providing data services to producers. While Big Data provides potential for producers to evaluate input selections and other farm decisions, skepticism by producers remains high on how companies providing Big Data analytics might use the data for improving a company's market position while limiting value back to the producer. This presentation will help producers, consultants, county agents, data service providers and others within agriculture to understand the current state of Big Data in agriculture with recommendations to row-crop producers as they consider options around data services. Specifically in this presentation, practitioners will learn that Big Data can accelerate learning and will be important in a producers' decision around aspects such as hybrid selection in the future. The amount of data being generated through modern agriculture machines and technology can be significant but capturing and making this data actionable will be important for producers to better understand their operation and costs. By presentation end, a practitioner should know more about the importance of data quality and considerations when evaluating data service options.

Responsibility: United Soybean Board (USB) farmer-leaders develop and maintain partnerships with U.S. land grant universities and U.S. ag-focused research organizations such as the Plant Management Network to increase the transfer of checkoff-funded applied and practical production research information to U.S. soybean farmers. USB neither recommends nor discourages the implementation of any advice contained herein, and is not liable for the use or misuse of the information provided.

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