This document discusses scaling up data in digital agriculture from small plot studies to entire fields and landscapes. It presents data on grain yield and nitrogen levels in soil from studies of continuous corn and corn-soybean-wheat crop rotations. The document also mentions the use of variable corn hybrids and virtual reality technologies in digital agriculture and acknowledges the contributions of the author's lab and funding sources.

1. NOISE
DATA
INFORMATION
KNOWLEDGE
WISDOM
SOLUTION
Digital Agriculture
Bruno Basso
Dept. Earth and Environ. Sciences
& W.K. Kellogg Biological Station

2. Basso et al., 2017a
Scaling Big-Data
2 m2 from
harvester
30 m2 from
satellite

3. Continuous Corn
Basso et al., 2017
GRAIN YIELD
N in the
soil profile
Corn-Soybean-Wheat Rotation

4. Variable Rate Corn Hybrids
Courtesy of Dale Sorensen

5. Virtual reality

6. Acknowledgements
The Basso Lab
Funding sources: