Session
Title: Terra-byte – A World Record Year
Date: Wed Jul 18, 2018
Time: 8:00 AM - 10:00 AM
Moderator: John Fulton
Terra-byte: A 2017 World Record

Profitable implementation of on-farm technologies varies by field, cropping system, and available investment opportunities. To greater understand the barriers to on-farm digital technology adoption, a data collection world record was attempted for a single corn plant. This project was conducted to quantify and assess the methods and magnitude of data that can be collected using commercially available technologies; a total of 18.5 Gb of data was collected from 2,476 individual files.  These files were then categorized and ranked according to ease of adoption, added value, amount of generated data, and various other categories. Key data layers for the 2017 growing season were found to be as-planted, yield, imagery, seeding prescriptions, and weather data.  This project served as a means to encourage adoption of these technologies and a determination of the many ways that data can be collected, analyzed, and acted upon in the current state of digital agriculture. 

Trey Colley (speaker)
Graduate Research Associate
The Ohio State University
Columbus, OH 43210
US
Trey Colley grew up near Birmingham, Alabama. His interest in agriculture was sparked during high school when working for a row-crop farm in central Alabama. He pursued a degree in Biosystems Engineering at Auburn University, and is currently pursuing a Master’s Degree at The Ohio State University with a focus on Precision Agriculture. Trey is interested in making data-based decisions in agriculture, machinery systems, precision nutrient placement, and increasing profitability through digital technology adoption.
Length (approx): 40 min
 
Data Layers of Value in Corn Production

Now that we have made an attempt at a World Record for corn data collection, we highlight the layers that provide the most value and how they are managed. Soil sampling and management zones provide a platform for potential ROI. Imagery can provide multiyear contributions to the toolbox, and current growing season insight. As applied data provides confidence to get through the growing season challenges.

Nathan Douridas (speaker)
Molly Caren Farm Manager
The Ohio State University Molly Caren Ag Center
: I am a CCA and the Farm Manager at the Molly Caren Ag Center which supports the annual Farm Science Review show in London, Ohio; a national farm show with 120,000 attendees, more than 600 exhibitors, and 500 acres dedicated to field demonstrations. I have spent more than 10 years at the 1500 acre Molly Caren Farm specializing in Farm Management, Site Specific Crop Management, and Production Ag Equipment and Technology. I am a graduate of The Ohio State University, and I have been actively involved in agriculture for the past 20 years on several farming operations from South Dakota to Ohio. I have interests in drainage, CRP, Strip-Till, and grain handling as well.
Length (approx): 40 min
 
What Are the Critical Data Layers for Building a Field-Level Database, Today and in the Future!

While it may not feel like it sometimes, we are getting better at collecting field level data.  Organizing and analyzing the data is still a challenge, but we’ve made significant progress.   Faster internet (at least some places), cloud data storage, and cloud based software have significantly improved our ability to share and process data.  It’s not perfect, hardly, but compared to only three years ago, things are getting better. 

Data is an addiction.  We’ve gone from kilobytes, to megabytes, to gigabytes, to terabytes, and still we need more data!  Try working with high resolution drone imagery and you’ll quickly realize a 2 terabyte hard drive is not that big.  Crop consultants live in the world of “must be practical”.  Our job is to find practical solutions by capturing the right data at the most effective level of resolution.  Knowing what data to collect and at what resolution is in large part what a good precision ag practitioner does.

Boundary layers, yield data and soil test data will always be some of the critical base layers of data that are needed.  But at what resolution?  Does a boundary layer boundary need to be RTK accurate?  What is the correct soil test density, 2.5 ac, ½ ac., zone, Hyperspectral?  Is yield data based on 45 ft. wide header granular enough?  Do we need row by row yield data or yield maps enhanced with high resolution drone imagery?.  As we learn how to process and store data faster, easier, and cheaper we will absolutely demand more data.

What does the future hold?  IoT, high resolution imagery, and autonomy all will be great data collection tools.  Most if not all these types data collection tools will have multiple channels/sensors collecting data.  What kinds of useful things can we harvest from all this data?  How will we manage, store and process all this data?  Can we process raw data once and then use the processed information over and over again?  A lot of these questions cannot be completely answered yet today, but for sure, more data is headed our way.

Dave Scheiderer (speaker)
President
Integrated Ag
Milford Center, OH 43045
US
Dave graduated from Ohio State University with a degree in agronomy. He spent his early career working in the retail crop protection and nutrient supply business as an agronomist and/or a branch manager. In 1990 Dave and his wife, Zita, established their own business, Integrated Ag Services Ltd. (IAS). Zita and Dave have 3 daughters, two married and the youngest is in college. He enjoys golf, most of the time, and spending time with his family all the time. The IAS business has grown and changed over the years; now with a staff of 12 providing agronomic consulting services and HD ½ ac. grid soil sampling in Ohio and beyond. Their focus is to provide quality agronomic advice focusing on the value of precision agriculture back to their customers.
Length (approx): 40 min