Objective Identification of Diseased Plants from Hyperspectral Images Using Machine Learning
- ADS bibcode
- 2019AGUFM.B31K2418H
- year
- 2019
- Listed Authors
- Haagsma, M.
- Page, G. F. M.
- Johnson, J. S.
- Still, C. J.
- Waring, K. M.
- Sniezko, R.
- Kroese, D. R.
- Hagerty, C. H.
- Selker, J. S.
- Listed Institutions
- Oregon State University, Corvallis, OR, United States
- Forest Ecosystems and Society, Oregon State University, Corvallis, OR, United States
- Northern Arizona University, Flagstaff, AZ, United States
- Forest Ecosystems and Society, Oregon State University, Corvallis, OR, United States
- Northern Arizona University, Flagstaff, United States
- USDA Forest Service, Dorena Genetic Resource Center, Dorena, United States
- Columbia Basin Agriculture Research, Oregon State University, Pendleton, United States
- Columbia Basin Agriculture Research, Oregon State University, Pendleton, United States
- Biological and Ecological Engineering, Oregon State University, Corvallis, OR, United States
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Linked Institutions