Jahmy Hindman
Bio
This workshop is supported by Translational AI Center @ Iowa State University
Today, efficient and cost-effective sensors as well as high performance computing technologies are looking to transform traditional plant-based agriculture into an efficient cyber-physical system. The easy availability of cheap, deployable, connected sensor technology has created an enormous opportunity to collect vast amount of data at varying spatial and temporal scales at both experimental and production agriculture levels. Therefore, both offline and real-time agricultural analytics that assimilates such heterogeneous data and provides automated, actionable information is a critical needed for sustainable and profitable agriculture.
Data analytics and decision-making for Agriculture has been a long-standing application area. The application of advanced machine learning methods to this critical societal need can be viewed as a transformative extension for the agriculture community. In this workshop, we intend to bring together academic and industrial researchers and practitioners in the fields of machine learning, data science and engineering, plant sciences and agriculture, in the collaborative effort of identifying and discussing major technical challenges and recent results related to machine learning-based approaches. This year the theme of the workshop will be Building Digital Twins for Ultra-precision Agriculture which will explore the recent advances in building virtual representations of plants, plots to fields using advances sensing, computational approaches, machine learning, scientific principles and domain knowledge. It will feature invited talks, oral/poster presentation of accepted papers, a machine learning competition and a panel discussion.
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Proceedings: Here
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Date: CDT (UTC -5) Mon, 10 Oct 2022 08:00 ~ CDT (UTC -5) Tue, 11 Oct 2022 12:00
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Venue: The workshop will be conducted in Hybrid mode
in - person at
ISU Alumni Center, Ball Room, Second Floor,
429 Alumni Lane,
Ames IA 50011-1403
(in the Iowa State Center complex between C.Y. Stephens Auditorium and Jack Trice Stadium)
| Registration Type | Attendance Type | Before 9/16 | After 9/16 |
|---|---|---|---|
| Student | In-Person Virtual |
$25 $15 |
$30 $20 |
| Faculty | In-Person Virtual |
$50 $30 |
$75 $50 |
| Industry | In-Person Virtual |
$200 $100 |
$250 $150 |
