Effective Tomato Spotted Wilt Virus Resistance Assessment Using Non-Destructive Imaging and Machine Learning

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Detalles Bibliográficos
Publicado en:	Horticulturae vol. 11, no. 2 (2025), p. 132
Autor Principal:	Kim, Sang Gyu
Outros autores:	Sang-Deok, Lee, Woo-Moon, Lee, Hyo-Bong Jeong, Yu, Nari, Oak-Jin, Lee, Lee, Hye-Eun
Publicado:	MDPI AG
Materias:	Infections Plant viruses Software Pathogens Disease resistance Deep learning Nondestructive testing Antibodies Tomatoes Leaves Image processing Machine learning Automation Statistical analysis Enzyme-linked immunosorbent assay Plant diseases Learning algorithms Agriculture Data analysis Neural networks Support vector machines Computer vision Genetic resources Medical research Viruses Surveys Antigens Wilt Enzymes Strains (organisms) Environmental
Acceso en liña:	Citation/Abstract Full Text + Graphics Full Text - PDF
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