Special Content Session: Early-Stage Technologies for High Throughput Phenotyping and Digital Agriculture
Tuesday, September 12 from 3:20-5:10pm at the Langenberg Theater
This Special Content Session is organized by the Advanced Research Projects Agency-Energy (ARPA-E)
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 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 (TERRA) program. ARPA-E provides R&D funding to early-stage technologies that could fundamentally change the way we generate, use, and store energy. These teams will also be exhibiting their technologies in a reserved space at the Danforth Center, which session attendees are invited to visit.
Blue River Technology
Carnegie Mellon University
Carolina Seed Systems, LLC
Donald Danforth Plant Science Center
Near Earth Autonomy
Texas A&M University
University of Illinois, Urbana-Champaign
More information about ARPA-E and the TERRA Program: The Advanced Research Projects Agency-Energy (ARPA-E) at the U.S.
Department of Energy provides R&D funding to early-stage technologies that could fundamentally change the way we generate, use, and store energy. ARPA-E’s TERRA program integrates plant genetics, information technology, and robotic sensors in order to accelerate year-over-year yield gains, stimulate discovery of crop traits that improve water productivity and nutrient use, and enable development of crops that are sustainable, affordable, and provide abundant bioenergy feedstocks.