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Toward Cloud‐Native, Machine Learning Base Detection of Crop Disease With Imaging Spectroscopy
External Source
chorus
Document Type
Version of Record
Authors
Gloire Rubambiza (Department of Computer Science Cornell University Ithaca NY USA)
Fernando Romero Galvan (Cornell University Cornell AgriTech Geneva NY USA)
Ryan Pavlick (Jet Propulsion Laboratory California Institute of Technology Pasadena CA USA)
Hakim Weatherspoon (Department of Computer Science Cornell University Ithaca NY USA)
Kaitlin M. Gold (Cornell University Cornell AgriTech Geneva NY USA)
Date Acquired
February 10, 2024
Publication Date
May 24, 2023
Publication Information
Publication: Journal of Geophysical Research: Biogeosciences
Publisher: American Geophysical Union (AGU)
Volume: 128
Issue: 6
Issue Publication Date: June 1, 2023
ISSN: 2169-8953
e-ISSN: 2169-8961
DOI: 10.1029/2022jg007342
Funding Number(s)
funding: 80NM0018D0004
Distribution Limits
Public
Keywords
paleontology
atmospheric science
soil science
water science and technology
ecology
aquatic science
forestry

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