Call for Papers
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CALL FOR PAPERS
ICLR 2020 Workshop on Computer Vision for Agriculture (CV4A)
April 26 2020, Addis Ababa, Ethiopia
Conference Website: https://www.cv4gc.org/cv4a2020
-- In conjunction with the
International Conference on Representation Learning (ICLR) 2020
IMPORTANT DATES
Paper submission deadline : February 14, 2020
Notification of acceptance : February 25, 2020
Workshop : April 26, 2020
Challenge close : Mid-March 2020
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Artificial intelligence has invaded the agriculture field during the
last few years. From automatic crop monitoring via drones, smart
agricultural equipment, food security and camera-powered apps
assisting farmers to satellite imagery based global crop disease
prediction and tracking, computer vision has been a ubiquitous
tool. This workshop aims to expose the fascinating progress and
unsolved problems of computational agriculture to the AI research
community. It is jointly organized by AI and computational agriculture
researchers and has the support of CGIAR, a global partnership that
unites international organizations engaged in agricultural research
for a food-secure future. Computer Vision for Agriculture (CV4A) is
the second workshop of the Computer Vision for Global Challenges
initiative and will focus on agriculture. It will be held in April
2020, in conjunction with the International Conference on
Representation Learning (ICLR), in Addis Ababa, Ethiopia. It will be a
full-day event and will feature invited speakers, poster and spotlight
presentations, a panel discussion and (tentatively) a
mentoring/networking dinner.
CHALLENGES AND COMPETITIONS
CV4A will feature two open challenges, both hosted on the African
platform Zindi:
* The CGIAR Wheat Rust Detection Challenge
* The Radiant Earth Foundation Crop Classification using Earth
Observations Challenge
Both challenges will feature cash prizes and travel grants for the top
performing submission, as well as the top performing submission from
an African researcher and the top performing submission from a
female-identified African researcher. More details coming soon!
CALL FOR PAPERS
We invite researchers to submit their recent work on Computer Vision
applications, tasks and challenges inspired by and applied to
agriculture, with a special focus on developing regions. Topic include
but are not limited to:
- Crop health (pests, diseases, plant nutrient deficiencies) and crop
yield estimation.
- Crop type recognition from ground and/or satellite imagery. Such
data can be used to target interven- tions, assess risk, evaluate the
impact of programs.
- Artificial intelligence for bottom-up, farmer-led crop improvement.
- Hyper-spectral (e.g. NIR, MIR, x-ray fluorescence) imaging for
detecting early-stage or physiological issues in crops
(e.g. photosynthetic activity, water stress, nutrient stress).
- Whole-field, multi-view crop diagnostics.
- Computer vision methods for food security, index insurance,
drought/flood early warning systems.
- Multi-modal integration of data from diverse sensors.
- Crowdsourcing agricultural data.
- Papers will be presented as poster and oral presentations. There
will be some travel support to presenters.
Researchers based in developing regions are strongly encouraged to submit
PAPER SUBMISSION
Up to four pages papers in PDF format, with unlimited pages for
references. To prepare your submission to the CV4A workshop, please
use the ICLR 2020 LaTex style files. The review process is
double-blind.
Submissions will be handled via CMT:
https://cmt3.research.microsoft.com/CV4A2020
PEOPLE
- Workshop organizers
Yannis Kalantidis (Naver Labs Europe)
Laura Sevilla-Lara (University of Edinburgh)
Ernest Mwebaze (Google AI Ghana)
Dina Machuve (Nelson Mandela African Institution of Science and Technology)
- Challenge Organizers
Hamed Alemohammad (Radiant Earth Foundation)
David Guerena (CIMMYT)
- Essential Collaborators
Drew Westbury (Facebook)
Celina Lee (Zindi)
Jamie Yang (Facebook)
Brian King (CGIAR Platform for Big Data in Agriculture)
Lorenzo Torresani (Facebook AI and Dartmouth)
Timnit Gebru (Google AI)
John Quinn (Makerere University & Google AI Ghana)
Larry Zitnick (University of Washington & Facebook AI)
Jitendra Malik (UC Berkeley & Facebook AI)