Participants
Topics
Sessions
Speakers
4
100
6
10
Two Days of Engaging Talks and Discussion
The convergence of expertise in sensor technology, analytics and biology in high throughput phenotyping and scouting platforms is ushering a new era of digital agriculture to realize the potential of large agricultural datasets to enhance growth prediction, crop improvement and precision agriculture. Powered by the NIFA FACT Initiative, a symposium and focused data workshop or “hackathon” gathering experts in plant breeding, genomics, remote sensing and analytics will create a community demonstration of the power of these large and comprehensive datasets to benefit agriculture.
The symposium will provide a forum to discuss methods for creating a successful field phenotyping campaign and to determine protocols for the collection and analysis of agricultural big data.
This symposium presents a unique opportunity to invite the larger community of public and private plant breeders and agronomists to determine additional challenges, make wider use of the data and to apply the methods to other datasets. The workshop will host presentations on current and future technologies in plant breeding and genomics, with opportunities for graduate student and postdoc interaction and training in the increasingly interdisciplinary and interdependent area of field crop improvement and analytics.
A key element of the symposium will be a hackathon to apply machine learning approaches and the development of solutions to benchmark next generation algorithms. The results of this symposium and workshop will be applicable algorithms, best practices documents and a report describing funding needs for continued success in this domain.
The Meeting
February 26th, 2018
09:00 am
Agenda
Accomodations
950 North Stafford Street
Arlington, Virginia
22203
A number of discounted hotel rooms at the host hotel have been blocked- the Hilton Arlington. Please book your room at this link:
http://www.hilton.com/en/hi/groups/personalized/D/DCAVAHF-AGD-20180225/index.jhtml?WT.mc_id=POG
If you prefer to make your reservations by phone, call 703-528-6000. Be sure to mention you are reserving a room in the Ag Data Meeting room block to receive the discounted room rate. The group code is: AGD
* Please note that the discount for the hotel reservation block will close on February 12th, so please make your hotel reservations ASAP.
Hotel and Conference Venue
Poster Session
The Data Driven Ag meeting conference will feature a poster session. Six travel awards (including registration, accommodations and air travel) will be awarded to selected applicants.
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Graduate students and Postdoctoral researchers are encouraged to submit an abstract.
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Abstracts are limited to 300 words.
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4 selected abstracts will be chosen for invited talks
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All abstracts must be submitted via email to datadrivenag@gmail.com
DEADLINES
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The deadline to submit an abstract is January 31st , 2018.
Speakers
Proud to bring speakers from across multiple disciplines
Dr. Chavonda Jacobs-Young
USDA
Dr. Sonny Ramaswamy
USDA
Dr. Brett Tyler
Oregon State University
Dr. Artur Dubrawski
Carnegie Mellon University
Rick Mueller
NASS
Dr. Seth Murray
Texas A&M University
Dr. Brian Sandberg
DARPA
Dr. Melba Crawford
Purdue University
Organizing Committee
Nadia Shakoor
Donald Danforth Plant Science Center
nshakoor@danforthcenter.org
Todd Mockler
Donald Danforth Plant Science Center
tmockler@danforthcenter.org
Seth Murray
Texas A&M University
sethmurray@tamu.edu
Carolyn Lawrence-Dill
Iowa State University
iacornflake@gmail.com
Doreen Ware
USDA-ARS
ware@cshl.edu
Jack Millar
NGA
Jack.W.Millar@nga.mil
Molly Jahn
University of Wisconsin-Madison
molly.jahn@wisc.edu
Chris Justice
University of Maryland
cjustice@umd.edu
Dan Northrup
Booz Allen Hamilton
Daniel.northrup@hq.doe.gov
David Lee
Booz Allen Hamilton
David.Lee2@Hq.Doe.Gov
David LeBauer
University of Illinois at Urbana–Champaign
dlebauer@illinois.edu
Reva Schwartz
Parenthetic
rschwartz@parenthetic.io
Forrest Melton
NASA
forrest.s.melton@nasa.gov
Sangram Ganguly
NASA
sangram.ganguly@nasa.gov
Roman Garnett
Washington University
garnett@wustl.edu