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J. Mason Earles
ORCID
Publication Activity (10 Years)
Years Active: 2022-2024
Publications (10 Years): 4
Top Topics
Transport Layer
Reasoning Systems
Video Coding
Unsupervised Feature Learning
Top Venues
Comput. Electron. Agric.
CoRR
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Publications
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Hamid Kamangir
,
Brent S. Sams
,
Nick Dokoozlian
,
Luis Sanchez
,
J. Mason Earles
Large-scale spatio-temporal yield estimation via deep learning using satellite and management data fusion in vineyards.
Comput. Electron. Agric.
216 (2024)
Alexander G. Olenskyj
,
Brent S. Sams
,
Zhenghao Fei
,
Vishal Singh
,
Pranav V. Raja
,
Gail M. Bornhorst
,
J. Mason Earles
End-to-end deep learning for directly estimating grape yield from ground-based imagery.
CoRR
(2022)
Alexander G. Olenskyj
,
Brent S. Sams
,
Zhenghao Fei
,
Vishal Singh
,
Pranav V. Raja
,
Gail M. Bornhorst
,
J. Mason Earles
End-to-end deep learning for directly estimating grape yield from ground-based imagery.
Comput. Electron. Agric.
198 (2022)
Ilias Tagkopoulos
,
Stephen F. Brown
,
Xin Liu
,
Qing Zhao
,
Tarek I. Zohdi
,
J. Mason Earles
,
Nitin Nitin
,
Daniel E. Runcie
,
Danielle G. Lemay
,
Aaron D. Smith
,
Pamela C. Ronald
,
Hao Feng
,
Gabriel David Youtsey
Special report: AI Institute for next generation food systems (AIFS).
Comput. Electron. Agric.
196 (2022)