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Advances in Prescriptive
Agriculture & Big Data
April 2016

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


Executive Summary
(15 min 57 sec)

Full Presentation
(32 min 47 sec)


for PC, Mac, and
Mobile Devices


for iPhone

for PC, Mac, and
Mobile Devices


for iPhone


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Summary: Prescriptive Agriculture is growing here in the US with several companies and retailers providing these data tools as a means to improve input efficiency at the farm level. At the same time, Big Data in agriculture production continues to be a topic of attention both positive and negatively. For prescriptive agriculture, a farmer will be required to submit farm data in order to receive information and recommendations back. This presentation will help producers, consultants, county agents, data service providers and others within agriculture to understand the three primary precision ag data layers, agronomic, machine and production data, and how they are converging today. Examples of these different data layers are provided along with comments on imagery. A production example is provided on how merging agronomic and machine data can provide more information to making farm decisions related to inputs. By presentation end, a practitioner should understand to opportunity these data layers provide plus the importance of data quality in order to receive proper recommendations based on data.

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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