Using Hyperspectral Imagery to Detect an Invasive Fungal Pathogen and Symptom Severity in Pinus strobiformis Seedlings of Different Genotypes
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Haagsma, M.; Page, G.F.M.; Johnson, J.S.; Still, C.; Waring, K.M.; Sniezko, R.A.; Selker, J.S. Using Hyperspectral Imagery to Detect an Invasive Fungal Pathogen and Symptom Severity in Pinus strobiformis Seedlings of Different Genotypes. Remote Sens. 2020, 12, 4041. https://doi.org/10.3390/rs12244041
Haagsma M, Page GFM, Johnson JS, Still C, Waring KM, Sniezko RA, Selker JS. Using Hyperspectral Imagery to Detect an Invasive Fungal Pathogen and Symptom Severity in Pinus strobiformis Seedlings of Different Genotypes. Remote Sensing. 2020; 12(24):4041. https://doi.org/10.3390/rs12244041
Chicago/Turabian StyleHaagsma, Marja; Page, Gerald F.M.; Johnson, Jeremy S.; Still, Christopher; Waring, Kristen M.; Sniezko, Richard A.; Selker, John S. 2020. "Using Hyperspectral Imagery to Detect an Invasive Fungal Pathogen and Symptom Severity in Pinus strobiformis Seedlings of Different Genotypes" Remote Sens. 12, no. 24: 4041. https://doi.org/10.3390/rs12244041