Mission:
Agriculture is an integral part of life, civilization, and economy, with
applications ranging from food to medicine. Current estimates put
thrusts like precision agriculture at 4 billion USD (by 2018) with an
estimated compound annual growth rate (CAGR) of 13%. This initiative
seeks to foster innovation in (g1) sensors and platforms, (g2)
eXplainable artificial intelligence (XAI) for data-2-information, and
(g3) data translation for implementation in agriculture. These goals
address the spectrum of sensing to visualization to decisions and
actions, with an emphasis on trustworthy and transparent human-in- and
human-over-the-loop solutions.
The DDAg Initiative aims to increase MU cross- and inter-disciplinary
activities in (g1)-(g3) by funding internal seed projects, connecting
faculty, educating students, exploring curriculum options, and resources
to increase external visibility and funding.
Members:
MU research groups interested in big data and agriculture,
collaborative, interdisciplinary research and problem solving.
Full Mission
Statement |
Upcoming Events:
All-sensor Day - Sept/16th at 10am,
Bradford
Journal Club - Sept/19th at 11am,
S201 M. Union
Ideas Lab-
TBD
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