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Phenotyping grapevine red blotch virus and grapevine leafroll-associated viruses before and after symptom expression through machine-learning analysis of hyperspectral images.

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Bibliographic Details
Title: Phenotyping grapevine red blotch virus and grapevine leafroll-associated viruses before and after symptom expression through machine-learning analysis of hyperspectral images.
Authors: Sawyer E; Viticulture & Enology Research Center, California State University Fresno, Fresno, CA, United States.; Department of Mathematics, California State University Fresno, Fresno, CA, United States., Laroche-Pinel E; Viticulture & Enology Research Center, California State University Fresno, Fresno, CA, United States.; Department of Viticulture & Enology, California State University Fresno, Fresno, CA, United States., Flasco M; Plant Pathology and Plant-Microbe Biology, Cornell University, Geneva, NY, United States., Cooper ML; University of California, Agriculture & Natural Resources, Napa, CA, United States., Corrales B; Viticulture & Enology Research Center, California State University Fresno, Fresno, CA, United States., Fuchs M; Plant Pathology and Plant-Microbe Biology, Cornell University, Geneva, NY, United States., Brillante L; Viticulture & Enology Research Center, California State University Fresno, Fresno, CA, United States.; Department of Viticulture & Enology, California State University Fresno, Fresno, CA, United States.
Source: Frontiers in plant science [Front Plant Sci] 2023 Mar 10; Vol. 14, pp. 1117869. Date of Electronic Publication: 2023 Mar 10 (Print Publication: 2023).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Research Foundation Country of Publication: Switzerland NLM ID: 101568200 Publication Model: eCollection Cited Medium: Print ISSN: 1664-462X (Print) Linking ISSN: 1664462X NLM ISO Abbreviation: Front Plant Sci Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1664-462X
DOI:10.3389/fpls.2023.1117869