Page 37 - 17AIS Program Book

Early Stage Technologies for High

Throughput Phenotyping and Digital
Agriculture

Tuesday, September 12th 3:20 PM - 5:10 PM

Langenberg Theater

This session features several early-stage innovations that could transform the
efficiency and effectiveness of plant breeding and crop management. Innovations
include sophisticated sensor suites on autonomous and semi-autonomous ground
and aerial platforms; machine learning algorithms for recognizing biologically and Special Content Session
economically important plant features; and data mining and crop modeling tools
for analyzing these features and identifying associated genes. These technologies
are initially being used for the development of improved varieties of energy
sorghum, but they can be readily extended to other fuel, food, feed, and fiber
crops. Cross-functional teams will present 10 innovations they are developing
with support from the U.S. Department of Energy’s Advanced Research Projects
Agency-Energy (ARPA-E) and its Transportation Energy Resources from Renewable
Agriculture program (TERRA). ARPA-E provides R&D funding to early-stage
technologies that could fundamentally change the way we generate, use, and store
energy.

PARTICIPATING INSTITUTIONS:
Blue River Technology, Inc. Purdue University
Carnegie Mellon University Texas A&M University
Clemson University University of Arizona
Donald Danforth Plant Science Center University of Illinois, Urbana-Champaign
Near Earth Autonomy

September 11-13, 2017 #17AIS 33